diff --git a/market_trade/notebooks/Signal hypers.ipynb b/market_trade/notebooks/Signal hypers.ipynb deleted file mode 100644 index f5eb3ea..0000000 --- a/market_trade/notebooks/Signal hypers.ipynb +++ /dev/null @@ -1,6126 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "c45428f2", - "metadata": {}, - "source": [ - "This notebook is designed for ray integrations for signals\n", - "\n", - "lets load askbid candlesticks file." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "2b5ebffa", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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openhighlowclosevoldate
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40.673510.673520.673510.673527.002020-09-01 03:00:20+03:00
.....................
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" - ], - "text/plain": [ - " open high low close vol date\n", - "0 0.67323 0.67351 0.67323 0.67351 21.50 2020-09-01 03:00:00+03:00\n", - "1 0.67349 0.67350 0.67349 0.67350 5.69 2020-09-01 03:00:05+03:00\n", - "2 0.67350 0.67350 0.67350 0.67350 0.00 2020-09-01 03:00:10+03:00\n", - "3 0.67355 0.67355 0.67351 0.67351 4.50 2020-09-01 03:00:15+03:00\n", - "4 0.67351 0.67352 0.67351 0.67352 7.00 2020-09-01 03:00:20+03:00\n", - "... ... ... ... ... ... ...\n", - "380145 0.66212 0.66212 0.66209 0.66209 2.25 2020-10-01 02:58:45+03:00\n", - "380146 0.66209 0.66209 0.66209 0.66209 0.00 2020-10-01 02:58:50+03:00\n", - "380147 0.66209 0.66209 0.66209 0.66209 0.00 2020-10-01 02:58:55+03:00\n", - "380148 0.66209 0.66209 0.66209 0.66209 0.00 2020-10-01 02:59:00+03:00\n", - "380149 0.66208 0.66208 0.66207 0.66207 4.00 2020-10-01 02:59:05+03:00\n", - "\n", - "[380150 rows x 6 columns]" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import market_trade.constants\n", - "import market_trade.dataloader\n", - "\n", - "candlesticks_filepaths = [filepath for filepath in market_trade.constants.CANDLESTICK_DATASETS_PATH.iterdir()]\n", - "candlesticks_filepath = candlesticks_filepaths[0]\n", - "duka_interface = market_trade.dataloader.DukaMTInterface(candlesticks_filepath)\n", - "duka_interface.bid_candlesticks" - ] - }, - { - "cell_type": "markdown", - "id": "ae9c0943", - "metadata": {}, - "source": [ - "Let's test signal." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "7f284ae6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'chstota': -0.0021010505252626313,\n", - " 'zeroNum %': 0.8750375187593797,\n", - " 't %': 0.06143071535767884,\n", - " 'f %': 0.06353176588294147,\n", - " 'toch': 0.49159327461969576}" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import market_trade.signals.Signal1\n", - "\n", - "bid_candlesticks_df = duka_interface.bid_candlesticks[:10000]\n", - "\n", - "ind_params = {'MeanType': 'SMA', 'window': 5, 'valueType': 'low', 'kDev': 2}\n", - "indEl1 = {\n", - " 'df': bid_candlesticks_df,\n", - " 'params': ind_params,\n", - " 'needFig': False,\n", - " 'showOnlyIndex': False,\n", - " 'drawFig': True\n", - "}\n", - "signal_result = market_trade.signals.Signal1.SignalBollingerBands1({'BB': indEl1})\n", - "signal_result.analiz" - ] - }, - { - "cell_type": "markdown", - "id": "2f0acadd", - "metadata": {}, - "source": [ - "Now let's design ray trainable." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "32624a56", - "metadata": {}, - "outputs": [], - "source": [ - "def trainable(config):\n", - " ind_params = {'MeanType': 'SMA',\n", - " 'window': config['window'],\n", - " 'valueType': config['value_type'],\n", - " 'kDev': config['k_dev']}\n", - " indEl1 = {\n", - " 'df': bid_candlesticks_df,\n", - " 'params': ind_params,\n", - " 'needFig': False,\n", - " 'showOnlyIndex': False,\n", - " 'drawFig': True\n", - " }\n", - " signal_result = market_trade.signals.Signal1.SignalBollingerBands1({'BB': indEl1})\n", - " tune.report(accuracy=signal_result.analiz[\"toch\"])" - ] - }, - { - "cell_type": "markdown", - "id": "5e132728", - "metadata": {}, - "source": [ - "Let's create config space." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "1ce577cf", - "metadata": {}, - "outputs": [], - "source": [ - "from ray import tune\n", - "\n", - "config = {\n", - " 'window': tune.qrandint(5,100,5),\n", - " 'value_type': tune.choice(['open', 'low', 'high', 'close']),\n", - " 'k_dev': tune.uniform(1,4)\n", - "}" - ] - }, - { - "cell_type": "markdown", - "id": "2ddd8e0a", - "metadata": {}, - "source": [ - "Let's run ray tune" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "067de743", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:33:51,021\tWARNING tune.py:636 -- Tune detects GPUs, but no trials are using GPUs. To enable trials to use GPUs, set tune.run(resources_per_trial={'gpu': 1}...) which allows Tune to expose 1 GPU to each trial. You can also override `Trainable.default_resource_request` if using the Trainable API.\n", - "2022-06-01 19:33:51,187\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00000\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:33:53 (running for 00:00:02.09)
Memory usage on this node: 10.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 1.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 16/100 (15 PENDING, 1 RUNNING)
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Trial name status loc k_devvalue_type window
trainable_9e7a8_00000RUNNING 192.168.1.14:99853.58725close 30
trainable_9e7a8_00001PENDING 2.9955 high 90
trainable_9e7a8_00002PENDING 3.91286high 20
trainable_9e7a8_00003PENDING 2.40783low 40
trainable_9e7a8_00004PENDING 2.83742high 95
trainable_9e7a8_00005PENDING 2.78332open 70
trainable_9e7a8_00006PENDING 2.02252low 90
trainable_9e7a8_00007PENDING 2.04865close 30
trainable_9e7a8_00008PENDING 2.38263high 55
trainable_9e7a8_00009PENDING 2.9824 low 95
trainable_9e7a8_00010PENDING 1.96683high 95
trainable_9e7a8_00011PENDING 1.36129low 5
trainable_9e7a8_00012PENDING 3.81256open 15
trainable_9e7a8_00013PENDING 1.80733high 35
trainable_9e7a8_00014PENDING 1.52009low 65
trainable_9e7a8_00015PENDING 1.5003 high 30


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Current time: 2022-06-01 19:33:58 (running for 00:00:07.64)
Memory usage on this node: 12.1/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 28/100 (16 PENDING, 12 RUNNING)
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Trial name status loc k_devvalue_type window
trainable_9e7a8_00000RUNNING 192.168.1.14:9985 3.58725close 30
trainable_9e7a8_00001RUNNING 192.168.1.14:100192.9955 high 90
trainable_9e7a8_00002RUNNING 192.168.1.14:100213.91286high 20
trainable_9e7a8_00003RUNNING 192.168.1.14:100232.40783low 40
trainable_9e7a8_00004RUNNING 192.168.1.14:100252.83742high 95
trainable_9e7a8_00005RUNNING 192.168.1.14:100262.78332open 70
trainable_9e7a8_00006RUNNING 192.168.1.14:100292.02252low 90
trainable_9e7a8_00007RUNNING 192.168.1.14:100312.04865close 30
trainable_9e7a8_00008RUNNING 192.168.1.14:100332.38263high 55
trainable_9e7a8_00009RUNNING 192.168.1.14:100352.9824 low 95
trainable_9e7a8_00012PENDING 3.81256open 15
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trainable_9e7a8_00015PENDING 1.5003 high 30
trainable_9e7a8_00016PENDING 3.82771low 70
trainable_9e7a8_00017PENDING 2.9332 high 95
trainable_9e7a8_00018PENDING 1.97031open 50
trainable_9e7a8_00019PENDING 3.3669 high 20
trainable_9e7a8_00020PENDING 1.2511 high 30
trainable_9e7a8_00021PENDING 1.18569open 85

... 8 more trials not shown (2 RUNNING, 6 PENDING)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:34:06 (running for 00:00:15.09)
Memory usage on this node: 12.0/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 28/100 (16 PENDING, 12 RUNNING)
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Trial name status loc k_devvalue_type window
trainable_9e7a8_00000RUNNING 192.168.1.14:9985 3.58725close 30
trainable_9e7a8_00001RUNNING 192.168.1.14:100192.9955 high 90
trainable_9e7a8_00002RUNNING 192.168.1.14:100213.91286high 20
trainable_9e7a8_00003RUNNING 192.168.1.14:100232.40783low 40
trainable_9e7a8_00004RUNNING 192.168.1.14:100252.83742high 95
trainable_9e7a8_00005RUNNING 192.168.1.14:100262.78332open 70
trainable_9e7a8_00006RUNNING 192.168.1.14:100292.02252low 90
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trainable_9e7a8_00008RUNNING 192.168.1.14:100332.38263high 55
trainable_9e7a8_00009RUNNING 192.168.1.14:100352.9824 low 95
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trainable_9e7a8_00021PENDING 1.18569open 85

... 8 more trials not shown (2 RUNNING, 6 PENDING)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00000:\n", - " accuracy: 0.46153846153846156\n", - " date: 2022-06-01_19-34-06\n", - " done: false\n", - " experiment_id: dd508a19143b4ab0b6b5466494a701e5\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 9985\n", - " time_since_restore: 13.739934206008911\n", - " time_this_iter_s: 13.739934206008911\n", - " time_total_s: 13.739934206008911\n", - " timestamp: 1654101246\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00000\n", - " warmup_time: 0.0024194717407226562\n", - " \n", - "Result for trainable_9e7a8_00000:\n", - " accuracy: 0.46153846153846156\n", - " date: 2022-06-01_19-34-06\n", - " done: true\n", - " experiment_id: dd508a19143b4ab0b6b5466494a701e5\n", - " experiment_tag: 0_k_dev=3.5873,value_type=close,window=30\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 9985\n", - " time_since_restore: 13.739934206008911\n", - " time_this_iter_s: 13.739934206008911\n", - " time_total_s: 13.739934206008911\n", - " timestamp: 1654101246\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00000\n", - " warmup_time: 0.0024194717407226562\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:08,271\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00012\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00003:\n", - " accuracy: 0.49736842105263157\n", - " date: 2022-06-01_19-34-11\n", - " done: false\n", - " experiment_id: 97f33c5e76b746f7a765446ab2136149\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10023\n", - " time_since_restore: 13.583420276641846\n", - " time_this_iter_s: 13.583420276641846\n", - " time_total_s: 13.583420276641846\n", - " timestamp: 1654101251\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00003\n", - " warmup_time: 0.005610227584838867\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:34:12 (running for 00:00:21.76)
Memory usage on this node: 12.1/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00003 with accuracy=0.49736842105263157 and parameters={'window': 40, 'value_type': 'low', 'k_dev': 2.407825494050322}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 29/100 (16 PENDING, 12 RUNNING, 1 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00001RUNNING 192.168.1.14:100192.9955 high 90
trainable_9e7a8_00002RUNNING 192.168.1.14:100213.91286high 20
trainable_9e7a8_00003RUNNING 192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004RUNNING 192.168.1.14:100252.83742high 95
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trainable_9e7a8_00008RUNNING 192.168.1.14:100332.38263high 55
trainable_9e7a8_00009RUNNING 192.168.1.14:100352.9824 low 95
trainable_9e7a8_00010RUNNING 192.168.1.14:100361.96683high 95
trainable_9e7a8_00013PENDING 1.80733high 35
trainable_9e7a8_00014PENDING 1.52009low 65
trainable_9e7a8_00015PENDING 1.5003 high 30
trainable_9e7a8_00016PENDING 3.82771low 70
trainable_9e7a8_00017PENDING 2.9332 high 95
trainable_9e7a8_00018PENDING 1.97031open 50
trainable_9e7a8_00019PENDING 3.3669 high 20
trainable_9e7a8_00020PENDING 1.2511 high 30
trainable_9e7a8_00021PENDING 1.18569open 85
trainable_9e7a8_00022PENDING 2.9816 low 40
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538

... 9 more trials not shown (2 RUNNING, 6 PENDING)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00010:\n", - " accuracy: 0.4887169568020632\n", - " date: 2022-06-01_19-34-12\n", - " done: false\n", - " experiment_id: 21171a81f97e4ceab4a2ebf418342710\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10036\n", - " time_since_restore: 14.459006547927856\n", - " time_this_iter_s: 14.459006547927856\n", - " time_total_s: 14.459006547927856\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00010\n", - " warmup_time: 0.004714012145996094\n", - " \n", - "Result for trainable_9e7a8_00001:\n", - " accuracy: 0.5070921985815603\n", - " date: 2022-06-01_19-34-12\n", - " done: false\n", - " experiment_id: 500dd4a950e04521aa8c39510d3e2709\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10019\n", - " time_since_restore: 14.583298921585083\n", - " time_this_iter_s: 14.583298921585083\n", - " time_total_s: 14.583298921585083\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00001\n", - " warmup_time: 0.004272937774658203\n", - " \n", - "Result for trainable_9e7a8_00007:\n", - " accuracy: 0.4906779661016949\n", - " date: 2022-06-01_19-34-12\n", - " done: true\n", - " experiment_id: ad1f045cecba4e5cb33d6ca9bc8cc914\n", - " experiment_tag: 7_k_dev=2.0486,value_type=close,window=30\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10031\n", - " time_since_restore: 14.571169137954712\n", - " time_this_iter_s: 14.571169137954712\n", - " time_total_s: 14.571169137954712\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00007\n", - " warmup_time: 0.005751132965087891\n", - " \n", - "Result for trainable_9e7a8_00001:\n", - " accuracy: 0.5070921985815603\n", - " date: 2022-06-01_19-34-12\n", - " done: true\n", - " experiment_id: 500dd4a950e04521aa8c39510d3e2709\n", - " experiment_tag: 1_k_dev=2.9955,value_type=high,window=90\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10019\n", - " time_since_restore: 14.583298921585083\n", - " time_this_iter_s: 14.583298921585083\n", - " time_total_s: 14.583298921585083\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00001\n", - " warmup_time: 0.004272937774658203\n", - " \n", - "Result for trainable_9e7a8_00010:\n", - " accuracy: 0.4887169568020632\n", - " date: 2022-06-01_19-34-12\n", - " done: true\n", - " experiment_id: 21171a81f97e4ceab4a2ebf418342710\n", - " experiment_tag: 10_k_dev=1.9668,value_type=high,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10036\n", - " time_since_restore: 14.459006547927856\n", - " time_this_iter_s: 14.459006547927856\n", - " time_total_s: 14.459006547927856\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00010\n", - " warmup_time: 0.004714012145996094\n", - " \n", - "Result for trainable_9e7a8_00002:\n", - " accuracy: 0.5043478260869565\n", - " date: 2022-06-01_19-34-12\n", - " done: false\n", - " experiment_id: 05aea56bd6ec4c9aac43da9b333d30c7\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10021\n", - " time_since_restore: 15.037883758544922\n", - " time_this_iter_s: 15.037883758544922\n", - " time_total_s: 15.037883758544922\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00002\n", - " warmup_time: 0.007447481155395508\n", - " \n", - "Result for trainable_9e7a8_00009:\n", - " accuracy: 0.5460992907801419\n", - " date: 2022-06-01_19-34-12\n", - " done: true\n", - " experiment_id: c0b2e38985174caf8330b6972f808605\n", - " experiment_tag: 9_k_dev=2.9824,value_type=low,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10035\n", - " time_since_restore: 13.997156858444214\n", - " time_this_iter_s: 13.997156858444214\n", - " time_total_s: 13.997156858444214\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00009\n", - " warmup_time: 0.005003213882446289\n", - " \n", - "Result for trainable_9e7a8_00002:\n", - " accuracy: 0.5043478260869565\n", - " date: 2022-06-01_19-34-12\n", - " done: true\n", - " experiment_id: 05aea56bd6ec4c9aac43da9b333d30c7\n", - " experiment_tag: 2_k_dev=3.9129,value_type=high,window=20\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10021\n", - " time_since_restore: 15.037883758544922\n", - " time_this_iter_s: 15.037883758544922\n", - " time_total_s: 15.037883758544922\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00002\n", - " warmup_time: 0.007447481155395508\n", - " \n", - "Result for trainable_9e7a8_00006:\n", - " accuracy: 0.48802190280629704\n", - " date: 2022-06-01_19-34-12\n", - " done: false\n", - " experiment_id: 28f8355c59bb4338b01419a9080f85e2\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10029\n", - " time_since_restore: 14.945950508117676\n", - " time_this_iter_s: 14.945950508117676\n", - " time_total_s: 14.945950508117676\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00006\n", - " warmup_time: 0.0067691802978515625\n", - " \n", - "Result for trainable_9e7a8_00005:\n", - " accuracy: 0.5173210161662818\n", - " date: 2022-06-01_19-34-12\n", - " done: false\n", - " experiment_id: 842dab8d618c46ceb905e1a829daef52\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10026\n", - " time_since_restore: 14.724257707595825\n", - " time_this_iter_s: 14.724257707595825\n", - " time_total_s: 14.724257707595825\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00005\n", - " warmup_time: 0.004319906234741211\n", - " \n", - "Result for trainable_9e7a8_00004:\n", - " accuracy: 0.48586118251928023\n", - " date: 2022-06-01_19-34-12\n", - " done: true\n", - " experiment_id: f3c82d32277a4d99ad52e7e1cfec7d67\n", - " experiment_tag: 4_k_dev=2.8374,value_type=high,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10025\n", - " time_since_restore: 14.679120779037476\n", - " time_this_iter_s: 14.679120779037476\n", - " time_total_s: 14.679120779037476\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00004\n", - " warmup_time: 0.0037331581115722656\n", - " \n", - "Result for trainable_9e7a8_00005:\n", - " accuracy: 0.5173210161662818\n", - " date: 2022-06-01_19-34-12\n", - " done: true\n", - " experiment_id: 842dab8d618c46ceb905e1a829daef52\n", - " experiment_tag: 5_k_dev=2.7833,value_type=open,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10026\n", - " time_since_restore: 14.724257707595825\n", - " time_this_iter_s: 14.724257707595825\n", - " time_total_s: 14.724257707595825\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00005\n", - " warmup_time: 0.004319906234741211\n", - " \n", - "Result for trainable_9e7a8_00006:\n", - " accuracy: 0.48802190280629704\n", - " date: 2022-06-01_19-34-12\n", - " done: true\n", - " experiment_id: 28f8355c59bb4338b01419a9080f85e2\n", - " experiment_tag: 6_k_dev=2.0225,value_type=low,window=90\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10029\n", - " time_since_restore: 14.945950508117676\n", - " time_this_iter_s: 14.945950508117676\n", - " time_total_s: 14.945950508117676\n", - " timestamp: 1654101252\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00006\n", - " warmup_time: 0.0067691802978515625\n", - " \n", - "Result for trainable_9e7a8_00008:\n", - " accuracy: 0.46082337317397076\n", - " date: 2022-06-01_19-34-13\n", - " done: false\n", - " experiment_id: addc5a22af734fffa198efb2005acd93\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10033\n", - " time_since_restore: 14.97620677947998\n", - " time_this_iter_s: 14.97620677947998\n", - " time_total_s: 14.97620677947998\n", - " timestamp: 1654101253\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00008\n", - " warmup_time: 0.00495600700378418\n", - " \n", - "Result for trainable_9e7a8_00008:\n", - " accuracy: 0.46082337317397076\n", - " date: 2022-06-01_19-34-13\n", - " done: true\n", - " experiment_id: addc5a22af734fffa198efb2005acd93\n", - " experiment_tag: 8_k_dev=2.3826,value_type=high,window=55\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10033\n", - " time_since_restore: 14.97620677947998\n", - " time_this_iter_s: 14.97620677947998\n", - " time_total_s: 14.97620677947998\n", - " timestamp: 1654101253\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00008\n", - " warmup_time: 0.00495600700378418\n", - " \n", - "Result for trainable_9e7a8_00011:\n", - " accuracy: 0.46779767514923026\n", - " date: 2022-06-01_19-34-13\n", - " done: false\n", - " experiment_id: 2b1c06fad9df4861aac65670c0d0e137\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10038\n", - " time_since_restore: 15.24082326889038\n", - " time_this_iter_s: 15.24082326889038\n", - " time_total_s: 15.24082326889038\n", - " timestamp: 1654101253\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00011\n", - " warmup_time: 0.007975101470947266\n", - " \n", - "Result for trainable_9e7a8_00011:\n", - " accuracy: 0.46779767514923026\n", - " date: 2022-06-01_19-34-13\n", - " done: true\n", - " experiment_id: 2b1c06fad9df4861aac65670c0d0e137\n", - " experiment_tag: 11_k_dev=1.3613,value_type=low,window=5\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10038\n", - " time_since_restore: 15.24082326889038\n", - " time_this_iter_s: 15.24082326889038\n", - " time_total_s: 15.24082326889038\n", - " timestamp: 1654101253\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00011\n", - " warmup_time: 0.007975101470947266\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:14,762\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00013\n", - "2022-06-01 19:34:14,782\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00014\n", - "2022-06-01 19:34:14,803\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00015\n", - "2022-06-01 19:34:14,821\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00016\n", - "2022-06-01 19:34:14,842\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00017\n", - "2022-06-01 19:34:14,873\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00018\n", - "2022-06-01 19:34:14,897\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00019\n", - "2022-06-01 19:34:14,921\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00020\n", - "2022-06-01 19:34:14,949\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00021\n", - "2022-06-01 19:34:14,992\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00022\n", - "2022-06-01 19:34:15,042\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00023\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:34:21 (running for 00:00:30.37)
Memory usage on this node: 12.3/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00009 with accuracy=0.5460992907801419 and parameters={'window': 95, 'value_type': 'low', 'k_dev': 2.982399582158353}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 40/100 (16 PENDING, 12 RUNNING, 12 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00012RUNNING 192.168.1.14:104483.81256open 15
trainable_9e7a8_00013RUNNING 192.168.1.14:106941.80733high 35
trainable_9e7a8_00014RUNNING 192.168.1.14:107051.52009low 65
trainable_9e7a8_00015RUNNING 192.168.1.14:107181.5003 high 30
trainable_9e7a8_00016RUNNING 192.168.1.14:107383.82771low 70
trainable_9e7a8_00017RUNNING 192.168.1.14:107912.9332 high 95
trainable_9e7a8_00018RUNNING 192.168.1.14:108201.97031open 50
trainable_9e7a8_00024PENDING 2.37796open 30
trainable_9e7a8_00025PENDING 3.76634open 80
trainable_9e7a8_00026PENDING 1.58155low 85
trainable_9e7a8_00027PENDING 2.00967open 90
trainable_9e7a8_00028PENDING 3.50349low 60
trainable_9e7a8_00029PENDING 3.12407open 65
trainable_9e7a8_00030PENDING 2.93617high 60
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 20 more trials not shown (5 RUNNING, 9 PENDING, 5 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00012:\n", - " accuracy: 0.5121107266435986\n", - " date: 2022-06-01_19-34-26\n", - " done: false\n", - " experiment_id: 1a22fe6f70954d6b9088455ee5c20962\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10448\n", - " time_since_restore: 14.0254967212677\n", - " time_this_iter_s: 14.0254967212677\n", - " time_total_s: 14.0254967212677\n", - " timestamp: 1654101266\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00012\n", - " warmup_time: 0.002529621124267578\n", - " \n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:34:26 (running for 00:00:35.80)
Memory usage on this node: 12.2/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00009 with accuracy=0.5460992907801419 and parameters={'window': 95, 'value_type': 'low', 'k_dev': 2.982399582158353}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 40/100 (16 PENDING, 12 RUNNING, 12 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00012RUNNING 192.168.1.14:104483.81256open 15 1 14.0255 0.512111
trainable_9e7a8_00013RUNNING 192.168.1.14:106941.80733high 35
trainable_9e7a8_00014RUNNING 192.168.1.14:107051.52009low 65
trainable_9e7a8_00015RUNNING 192.168.1.14:107181.5003 high 30
trainable_9e7a8_00016RUNNING 192.168.1.14:107383.82771low 70
trainable_9e7a8_00017RUNNING 192.168.1.14:107912.9332 high 95
trainable_9e7a8_00018RUNNING 192.168.1.14:108201.97031open 50
trainable_9e7a8_00024PENDING 2.37796open 30
trainable_9e7a8_00025PENDING 3.76634open 80
trainable_9e7a8_00026PENDING 1.58155low 85
trainable_9e7a8_00027PENDING 2.00967open 90
trainable_9e7a8_00028PENDING 3.50349low 60
trainable_9e7a8_00029PENDING 3.12407open 65
trainable_9e7a8_00030PENDING 2.93617high 60
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 20 more trials not shown (5 RUNNING, 9 PENDING, 5 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00012:\n", - " accuracy: 0.5121107266435986\n", - " date: 2022-06-01_19-34-26\n", - " done: true\n", - " experiment_id: 1a22fe6f70954d6b9088455ee5c20962\n", - " experiment_tag: 12_k_dev=3.8126,value_type=open,window=15\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10448\n", - " time_since_restore: 14.0254967212677\n", - " time_this_iter_s: 14.0254967212677\n", - " time_total_s: 14.0254967212677\n", - " timestamp: 1654101266\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00012\n", - " warmup_time: 0.002529621124267578\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:27,867\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00024\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:34:32 (running for 00:00:41.90)
Memory usage on this node: 12.2/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00009 with accuracy=0.5460992907801419 and parameters={'window': 95, 'value_type': 'low', 'k_dev': 2.982399582158353}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 41/100 (16 PENDING, 12 RUNNING, 13 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00013RUNNING 192.168.1.14:106941.80733high 35
trainable_9e7a8_00014RUNNING 192.168.1.14:107051.52009low 65
trainable_9e7a8_00015RUNNING 192.168.1.14:107181.5003 high 30
trainable_9e7a8_00016RUNNING 192.168.1.14:107383.82771low 70
trainable_9e7a8_00017RUNNING 192.168.1.14:107912.9332 high 95
trainable_9e7a8_00018RUNNING 192.168.1.14:108201.97031open 50
trainable_9e7a8_00019RUNNING 192.168.1.14:108263.3669 high 20
trainable_9e7a8_00025PENDING 3.76634open 80
trainable_9e7a8_00026PENDING 1.58155low 85
trainable_9e7a8_00027PENDING 2.00967open 90
trainable_9e7a8_00028PENDING 3.50349low 60
trainable_9e7a8_00029PENDING 3.12407open 65
trainable_9e7a8_00030PENDING 2.93617high 60
trainable_9e7a8_00031PENDING 2.56237high 40
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 21 more trials not shown (5 RUNNING, 9 PENDING, 6 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00019:\n", - " accuracy: 0.5130434782608696\n", - " date: 2022-06-01_19-34-33\n", - " done: false\n", - " experiment_id: d96c80c310fa4d4da89a3dd1e96a2d10\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10826\n", - " time_since_restore: 13.773784160614014\n", - " time_this_iter_s: 13.773784160614014\n", - " time_total_s: 13.773784160614014\n", - " timestamp: 1654101273\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00019\n", - " warmup_time: 0.006046295166015625\n", - " \n", - "Result for trainable_9e7a8_00019:\n", - " accuracy: 0.5130434782608696\n", - " date: 2022-06-01_19-34-33\n", - " done: true\n", - " experiment_id: d96c80c310fa4d4da89a3dd1e96a2d10\n", - " experiment_tag: 19_k_dev=3.3669,value_type=high,window=20\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10826\n", - " time_since_restore: 13.773784160614014\n", - " time_this_iter_s: 13.773784160614014\n", - " time_total_s: 13.773784160614014\n", - " timestamp: 1654101273\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00019\n", - " warmup_time: 0.006046295166015625\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:35,042\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00025\n", - "2022-06-01 19:34:35,076\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00026\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00016:\n", - " accuracy: 0.5555555555555556\n", - " date: 2022-06-01_19-34-34\n", - " done: false\n", - " experiment_id: 7f00783cf5514779a1f37a0ee620c5f9\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10738\n", - " time_since_restore: 15.381575345993042\n", - " time_this_iter_s: 15.381575345993042\n", - " time_total_s: 15.381575345993042\n", - " timestamp: 1654101274\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00016\n", - " warmup_time: 0.005811214447021484\n", - " \n", - "Result for trainable_9e7a8_00016:\n", - " accuracy: 0.5555555555555556\n", - " date: 2022-06-01_19-34-34\n", - " done: true\n", - " experiment_id: 7f00783cf5514779a1f37a0ee620c5f9\n", - " experiment_tag: 16_k_dev=3.8277,value_type=low,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10738\n", - " time_since_restore: 15.381575345993042\n", - " time_this_iter_s: 15.381575345993042\n", - " time_total_s: 15.381575345993042\n", - " timestamp: 1654101274\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00016\n", - " warmup_time: 0.005811214447021484\n", - " \n", - "Result for trainable_9e7a8_00013:\n", - " accuracy: 0.4691780821917808\n", - " date: 2022-06-01_19-34-35\n", - " done: false\n", - " experiment_id: 6c52b00a8a8c4056b09e0bd0c60ed9b2\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10694\n", - " time_since_restore: 15.529388189315796\n", - " time_this_iter_s: 15.529388189315796\n", - " time_total_s: 15.529388189315796\n", - " timestamp: 1654101275\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00013\n", - " warmup_time: 0.007336616516113281\n", - " \n", - "Result for trainable_9e7a8_00013:\n", - " accuracy: 0.4691780821917808\n", - " date: 2022-06-01_19-34-35\n", - " done: true\n", - " experiment_id: 6c52b00a8a8c4056b09e0bd0c60ed9b2\n", - " experiment_tag: 13_k_dev=1.8073,value_type=high,window=35\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10694\n", - " time_since_restore: 15.529388189315796\n", - " time_this_iter_s: 15.529388189315796\n", - " time_total_s: 15.529388189315796\n", - " timestamp: 1654101275\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00013\n", - " warmup_time: 0.007336616516113281\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:35,964\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00027\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00018:\n", - " accuracy: 0.4855562384757222\n", - " date: 2022-06-01_19-34-35\n", - " done: false\n", - " experiment_id: bbd1c2b5b2664d6fb2788ed0f94d3966\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10820\n", - " time_since_restore: 15.152493000030518\n", - " time_this_iter_s: 15.152493000030518\n", - " time_total_s: 15.152493000030518\n", - " timestamp: 1654101275\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00018\n", - " warmup_time: 0.008821725845336914\n", - " \n", - "Result for trainable_9e7a8_00018:\n", - " accuracy: 0.4855562384757222\n", - " date: 2022-06-01_19-34-35\n", - " done: true\n", - " experiment_id: bbd1c2b5b2664d6fb2788ed0f94d3966\n", - " experiment_tag: 18_k_dev=1.9703,value_type=open,window=50\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10820\n", - " time_since_restore: 15.152493000030518\n", - " time_this_iter_s: 15.152493000030518\n", - " time_total_s: 15.152493000030518\n", - " timestamp: 1654101275\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00018\n", - " warmup_time: 0.008821725845336914\n", - " \n", - "Result for trainable_9e7a8_00014:\n", - " accuracy: 0.47731691510045365\n", - " date: 2022-06-01_19-34-35\n", - " done: false\n", - " experiment_id: 98c2ddc8e35644379aa67b29a3854518\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10705\n", - " time_since_restore: 16.20167064666748\n", - " time_this_iter_s: 16.20167064666748\n", - " time_total_s: 16.20167064666748\n", - " timestamp: 1654101275\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00014\n", - " warmup_time: 0.005467653274536133\n", - " \n", - "Result for trainable_9e7a8_00014:\n", - " accuracy: 0.47731691510045365\n", - " date: 2022-06-01_19-34-35\n", - " done: true\n", - " experiment_id: 98c2ddc8e35644379aa67b29a3854518\n", - " experiment_tag: 14_k_dev=1.5201,value_type=low,window=65\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10705\n", - " time_since_restore: 16.20167064666748\n", - " time_this_iter_s: 16.20167064666748\n", - " time_total_s: 16.20167064666748\n", - " timestamp: 1654101275\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00014\n", - " warmup_time: 0.005467653274536133\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:36,008\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00028\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00017:\n", - " accuracy: 0.4887459807073955\n", - " date: 2022-06-01_19-34-36\n", - " done: false\n", - " experiment_id: 124fd42fb2be4130bfb31bce3955b460\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10791\n", - " time_since_restore: 15.400557518005371\n", - " time_this_iter_s: 15.400557518005371\n", - " time_total_s: 15.400557518005371\n", - " timestamp: 1654101276\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00017\n", - " warmup_time: 0.007220745086669922\n", - " \n", - "Result for trainable_9e7a8_00017:\n", - " accuracy: 0.4887459807073955\n", - " date: 2022-06-01_19-34-36\n", - " done: true\n", - " experiment_id: 124fd42fb2be4130bfb31bce3955b460\n", - " experiment_tag: 17_k_dev=2.9332,value_type=high,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10791\n", - " time_since_restore: 15.400557518005371\n", - " time_this_iter_s: 15.400557518005371\n", - " time_total_s: 15.400557518005371\n", - " timestamp: 1654101276\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00017\n", - " warmup_time: 0.007220745086669922\n", - " \n", - "Result for trainable_9e7a8_00022:\n", - " accuracy: 0.5232974910394266\n", - " date: 2022-06-01_19-34-36\n", - " done: false\n", - " experiment_id: 1ed3ffcd32a54b43b15fadb717fa8b03\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10851\n", - " time_since_restore: 16.078017473220825\n", - " time_this_iter_s: 16.078017473220825\n", - " time_total_s: 16.078017473220825\n", - " timestamp: 1654101276\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00022\n", - " warmup_time: 0.010663270950317383\n", - " \n", - "Result for trainable_9e7a8_00022:\n", - " accuracy: 0.5232974910394266\n", - " date: 2022-06-01_19-34-36\n", - " done: true\n", - " experiment_id: 1ed3ffcd32a54b43b15fadb717fa8b03\n", - " experiment_tag: 22_k_dev=2.9816,value_type=low,window=40\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10851\n", - " time_since_restore: 16.078017473220825\n", - " time_this_iter_s: 16.078017473220825\n", - " time_total_s: 16.078017473220825\n", - " timestamp: 1654101276\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00022\n", - " warmup_time: 0.010663270950317383\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:36,935\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00029\n", - "2022-06-01 19:34:36,974\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00030\n", - "2022-06-01 19:34:37,004\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00031\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00015:\n", - " accuracy: 0.46335927367055774\n", - " date: 2022-06-01_19-34-36\n", - " done: false\n", - " experiment_id: e84d4c0d12a249888656f4d05d0ca15e\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10718\n", - " time_since_restore: 17.18942403793335\n", - " time_this_iter_s: 17.18942403793335\n", - " time_total_s: 17.18942403793335\n", - " timestamp: 1654101276\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00015\n", - " warmup_time: 0.006697416305541992\n", - " \n", - "Result for trainable_9e7a8_00015:\n", - " accuracy: 0.46335927367055774\n", - " date: 2022-06-01_19-34-36\n", - " done: true\n", - " experiment_id: e84d4c0d12a249888656f4d05d0ca15e\n", - " experiment_tag: 15_k_dev=1.5003,value_type=high,window=30\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10718\n", - " time_since_restore: 17.18942403793335\n", - " time_this_iter_s: 17.18942403793335\n", - " time_total_s: 17.18942403793335\n", - " timestamp: 1654101276\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00015\n", - " warmup_time: 0.006697416305541992\n", - " \n", - "Result for trainable_9e7a8_00021:\n", - " accuracy: 0.4594293357111012\n", - " date: 2022-06-01_19-34-37\n", - " done: false\n", - " experiment_id: 1030124ef9d242f59f71b692f6ea69b2\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10832\n", - " time_since_restore: 17.364789485931396\n", - " time_this_iter_s: 17.364789485931396\n", - " time_total_s: 17.364789485931396\n", - " timestamp: 1654101277\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00021\n", - " warmup_time: 0.006062030792236328\n", - " \n", - "Result for trainable_9e7a8_00021:\n", - " accuracy: 0.4594293357111012\n", - " date: 2022-06-01_19-34-37\n", - " done: true\n", - " experiment_id: 1030124ef9d242f59f71b692f6ea69b2\n", - " experiment_tag: 21_k_dev=1.1857,value_type=open,window=85\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10832\n", - " time_since_restore: 17.364789485931396\n", - " time_this_iter_s: 17.364789485931396\n", - " time_total_s: 17.364789485931396\n", - " timestamp: 1654101277\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00021\n", - " warmup_time: 0.006062030792236328\n", - " \n", - "Result for trainable_9e7a8_00020:\n", - " accuracy: 0.4541328236980411\n", - " date: 2022-06-01_19-34-37\n", - " done: false\n", - " experiment_id: a960db88989a4dd68719193685d3bae9\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10827\n", - " time_since_restore: 17.48743748664856\n", - " time_this_iter_s: 17.48743748664856\n", - " time_total_s: 17.48743748664856\n", - " timestamp: 1654101277\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00020\n", - " warmup_time: 0.00461578369140625\n", - " \n", - "Result for trainable_9e7a8_00020:\n", - " accuracy: 0.4541328236980411\n", - " date: 2022-06-01_19-34-37\n", - " done: true\n", - " experiment_id: a960db88989a4dd68719193685d3bae9\n", - " experiment_tag: 20_k_dev=1.2511,value_type=high,window=30\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10827\n", - " time_since_restore: 17.48743748664856\n", - " time_this_iter_s: 17.48743748664856\n", - " time_total_s: 17.48743748664856\n", - " timestamp: 1654101277\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00020\n", - " warmup_time: 0.00461578369140625\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:34:41 (running for 00:00:50.22)
Memory usage on this node: 12.0/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 9.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 48/100 (16 PENDING, 9 RUNNING, 23 TERMINATED)
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00023RUNNING 192.168.1.14:108531.12381close 10
trainable_9e7a8_00024RUNNING 192.168.1.14:112122.37796open 30
trainable_9e7a8_00025RUNNING 192.168.1.14:112773.76634open 80
trainable_9e7a8_00026RUNNING 192.168.1.14:112781.58155low 85
trainable_9e7a8_00027RUNNING 192.168.1.14:112832.00967open 90
trainable_9e7a8_00028RUNNING 192.168.1.14:112863.50349low 60
trainable_9e7a8_00029RUNNING 192.168.1.14:113653.12407open 65
trainable_9e7a8_00032PENDING 2.71263close 20
trainable_9e7a8_00033PENDING 1.61494close 15
trainable_9e7a8_00034PENDING 2.25605open 75
trainable_9e7a8_00035PENDING 1.19443high 95
trainable_9e7a8_00036PENDING 2.10051open 70
trainable_9e7a8_00037PENDING 2.1924 close 80
trainable_9e7a8_00038PENDING 3.33683low 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 28 more trials not shown (2 RUNNING, 9 PENDING, 16 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:41,582\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00032\n", - "2022-06-01 19:34:41,628\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00033\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00023:\n", - " accuracy: 0.4529396921524098\n", - " date: 2022-06-01_19-34-38\n", - " done: false\n", - " experiment_id: 6675f1f46eaf4e10a950e564e24a23e6\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10853\n", - " time_since_restore: 17.483032703399658\n", - " time_this_iter_s: 17.483032703399658\n", - " time_total_s: 17.483032703399658\n", - " timestamp: 1654101278\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00023\n", - " warmup_time: 0.007616519927978516\n", - " \n", - "Result for trainable_9e7a8_00023:\n", - " accuracy: 0.4529396921524098\n", - " date: 2022-06-01_19-34-38\n", - " done: true\n", - " experiment_id: 6675f1f46eaf4e10a950e564e24a23e6\n", - " experiment_tag: 23_k_dev=1.1238,value_type=close,window=10\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 10853\n", - " time_since_restore: 17.483032703399658\n", - " time_this_iter_s: 17.483032703399658\n", - " time_total_s: 17.483032703399658\n", - " timestamp: 1654101278\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00023\n", - " warmup_time: 0.007616519927978516\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:41,962\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00034\n", - "2022-06-01 19:34:42,005\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00035\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00024:\n", - " accuracy: 0.49518716577540106\n", - " date: 2022-06-01_19-34-45\n", - " done: false\n", - " experiment_id: 82ae1d7ce6ee493e8675bce3d400fc7a\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11212\n", - " time_since_restore: 13.099290132522583\n", - " time_this_iter_s: 13.099290132522583\n", - " time_total_s: 13.099290132522583\n", - " timestamp: 1654101285\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00024\n", - " warmup_time: 0.004574775695800781\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:34:47 (running for 00:00:56.56)
Memory usage on this node: 12.3/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 52/100 (16 PENDING, 12 RUNNING, 24 TERMINATED)
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00024RUNNING 192.168.1.14:112122.37796open 30 1 13.0993 0.495187
trainable_9e7a8_00025RUNNING 192.168.1.14:112773.76634open 80
trainable_9e7a8_00026RUNNING 192.168.1.14:112781.58155low 85
trainable_9e7a8_00027RUNNING 192.168.1.14:112832.00967open 90
trainable_9e7a8_00028RUNNING 192.168.1.14:112863.50349low 60
trainable_9e7a8_00029RUNNING 192.168.1.14:113653.12407open 65
trainable_9e7a8_00030RUNNING 192.168.1.14:113672.93617high 60
trainable_9e7a8_00036PENDING 2.10051open 70
trainable_9e7a8_00037PENDING 2.1924 close 80
trainable_9e7a8_00038PENDING 3.33683low 80
trainable_9e7a8_00039PENDING 2.42366open 95
trainable_9e7a8_00040PENDING 3.82909low 20
trainable_9e7a8_00041PENDING 1.00435low 40
trainable_9e7a8_00042PENDING 2.13066close 45
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 32 more trials not shown (5 RUNNING, 9 PENDING, 17 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00024:\n", - " accuracy: 0.49518716577540106\n", - " date: 2022-06-01_19-34-45\n", - " done: true\n", - " experiment_id: 82ae1d7ce6ee493e8675bce3d400fc7a\n", - " experiment_tag: 24_k_dev=2.378,value_type=open,window=30\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11212\n", - " time_since_restore: 13.099290132522583\n", - " time_this_iter_s: 13.099290132522583\n", - " time_total_s: 13.099290132522583\n", - " timestamp: 1654101285\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00024\n", - " warmup_time: 0.004574775695800781\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:49,045\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00036\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00025:\n", - " accuracy: 0.5394736842105263\n", - " date: 2022-06-01_19-34-53\n", - " done: false\n", - " experiment_id: 47cb2440acab44fd822ed5089c6e9c49\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11277\n", - " time_since_restore: 14.249480247497559\n", - " time_this_iter_s: 14.249480247497559\n", - " time_total_s: 14.249480247497559\n", - " timestamp: 1654101293\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00025\n", - " warmup_time: 0.00903463363647461\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:34:54 (running for 00:01:03.01)
Memory usage on this node: 12.3/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 53/100 (16 PENDING, 12 RUNNING, 25 TERMINATED)
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00025RUNNING 192.168.1.14:112773.76634open 80 1 14.2495 0.539474
trainable_9e7a8_00026RUNNING 192.168.1.14:112781.58155low 85
trainable_9e7a8_00027RUNNING 192.168.1.14:112832.00967open 90
trainable_9e7a8_00028RUNNING 192.168.1.14:112863.50349low 60
trainable_9e7a8_00029RUNNING 192.168.1.14:113653.12407open 65
trainable_9e7a8_00030RUNNING 192.168.1.14:113672.93617high 60
trainable_9e7a8_00031RUNNING 192.168.1.14:113692.56237high 40
trainable_9e7a8_00037PENDING 2.1924 close 80
trainable_9e7a8_00038PENDING 3.33683low 80
trainable_9e7a8_00039PENDING 2.42366open 95
trainable_9e7a8_00040PENDING 3.82909low 20
trainable_9e7a8_00041PENDING 1.00435low 40
trainable_9e7a8_00042PENDING 2.13066close 45
trainable_9e7a8_00043PENDING 3.78005low 70
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 33 more trials not shown (5 RUNNING, 9 PENDING, 18 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00028:\n", - " accuracy: 0.5204081632653061\n", - " date: 2022-06-01_19-34-53\n", - " done: false\n", - " experiment_id: 0882929c199d4878b9b117a5abddf001\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11286\n", - " time_since_restore: 13.5071702003479\n", - " time_this_iter_s: 13.5071702003479\n", - " time_total_s: 13.5071702003479\n", - " timestamp: 1654101293\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00028\n", - " warmup_time: 0.0036194324493408203\n", - " \n", - "Result for trainable_9e7a8_00027:\n", - " accuracy: 0.49630624580255206\n", - " date: 2022-06-01_19-34-53\n", - " done: false\n", - " experiment_id: eda8276c93f247629c8ac087b30d2382\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11283\n", - " time_since_restore: 14.29230809211731\n", - " time_this_iter_s: 14.29230809211731\n", - " time_total_s: 14.29230809211731\n", - " timestamp: 1654101293\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00027\n", - " warmup_time: 0.004743337631225586\n", - " \n", - "Result for trainable_9e7a8_00027:\n", - " accuracy: 0.49630624580255206\n", - " date: 2022-06-01_19-34-53\n", - " done: true\n", - " experiment_id: eda8276c93f247629c8ac087b30d2382\n", - " experiment_tag: 27_k_dev=2.0097,value_type=open,window=90\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11283\n", - " time_since_restore: 14.29230809211731\n", - " time_this_iter_s: 14.29230809211731\n", - " time_total_s: 14.29230809211731\n", - " timestamp: 1654101293\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00027\n", - " warmup_time: 0.004743337631225586\n", - " \n", - "Result for trainable_9e7a8_00028:\n", - " accuracy: 0.5204081632653061\n", - " date: 2022-06-01_19-34-53\n", - " done: true\n", - " experiment_id: 0882929c199d4878b9b117a5abddf001\n", - " experiment_tag: 28_k_dev=3.5035,value_type=low,window=60\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11286\n", - " time_since_restore: 13.5071702003479\n", - " time_this_iter_s: 13.5071702003479\n", - " time_total_s: 13.5071702003479\n", - " timestamp: 1654101293\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00028\n", - " warmup_time: 0.0036194324493408203\n", - " \n", - "Result for trainable_9e7a8_00025:\n", - " accuracy: 0.5394736842105263\n", - " date: 2022-06-01_19-34-53\n", - " done: true\n", - " experiment_id: 47cb2440acab44fd822ed5089c6e9c49\n", - " experiment_tag: 25_k_dev=3.7663,value_type=open,window=80\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11277\n", - " time_since_restore: 14.249480247497559\n", - " time_this_iter_s: 14.249480247497559\n", - " time_total_s: 14.249480247497559\n", - " timestamp: 1654101293\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00025\n", - " warmup_time: 0.00903463363647461\n", - " \n", - "Result for trainable_9e7a8_00026:\n", - " accuracy: 0.4725121781489214\n", - " date: 2022-06-01_19-34-54\n", - " done: false\n", - " experiment_id: c28c935754aa4f2fa230eff702a30abc\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11278\n", - " time_since_restore: 15.291823148727417\n", - " time_this_iter_s: 15.291823148727417\n", - " time_total_s: 15.291823148727417\n", - " timestamp: 1654101294\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00026\n", - " warmup_time: 0.00337982177734375\n", - " \n", - "Result for trainable_9e7a8_00026:\n", - " accuracy: 0.4725121781489214\n", - " date: 2022-06-01_19-34-54\n", - " done: true\n", - " experiment_id: c28c935754aa4f2fa230eff702a30abc\n", - " experiment_tag: 26_k_dev=1.5816,value_type=low,window=85\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11278\n", - " time_since_restore: 15.291823148727417\n", - " time_this_iter_s: 15.291823148727417\n", - " time_total_s: 15.291823148727417\n", - " timestamp: 1654101294\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00026\n", - " warmup_time: 0.00337982177734375\n", - " \n", - "Result for trainable_9e7a8_00029:\n", - " accuracy: 0.5289256198347108\n", - " date: 2022-06-01_19-34-55\n", - " done: false\n", - " experiment_id: 605e41d8d7964989b2abc019fe9caecf\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11365\n", - " time_since_restore: 14.431620359420776\n", - " time_this_iter_s: 14.431620359420776\n", - " time_total_s: 14.431620359420776\n", - " timestamp: 1654101295\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00029\n", - " warmup_time: 0.0033860206604003906\n", - " \n", - "Result for trainable_9e7a8_00029:\n", - " accuracy: 0.5289256198347108\n", - " date: 2022-06-01_19-34-55\n", - " done: true\n", - " experiment_id: 605e41d8d7964989b2abc019fe9caecf\n", - " experiment_tag: 29_k_dev=3.1241,value_type=open,window=65\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11365\n", - " time_since_restore: 14.431620359420776\n", - " time_this_iter_s: 14.431620359420776\n", - " time_total_s: 14.431620359420776\n", - " timestamp: 1654101295\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00029\n", - " warmup_time: 0.0033860206604003906\n", - " \n", - "Result for trainable_9e7a8_00031:\n", - " accuracy: 0.45229007633587787\n", - " date: 2022-06-01_19-34-55\n", - " done: false\n", - " experiment_id: 9515ffaf5067434cb2a8800410bfd04b\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11369\n", - " time_since_restore: 14.678828954696655\n", - " time_this_iter_s: 14.678828954696655\n", - " time_total_s: 14.678828954696655\n", - " timestamp: 1654101295\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00031\n", - " warmup_time: 0.0055849552154541016\n", - " \n", - "Result for trainable_9e7a8_00031:\n", - " accuracy: 0.45229007633587787\n", - " date: 2022-06-01_19-34-55\n", - " done: true\n", - " experiment_id: 9515ffaf5067434cb2a8800410bfd04b\n", - " experiment_tag: 31_k_dev=2.5624,value_type=high,window=40\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11369\n", - " time_since_restore: 14.678828954696655\n", - " time_this_iter_s: 14.678828954696655\n", - " time_total_s: 14.678828954696655\n", - " timestamp: 1654101295\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00031\n", - " warmup_time: 0.0055849552154541016\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:55,863\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00037\n", - "2022-06-01 19:34:55,902\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00038\n", - "2022-06-01 19:34:55,926\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00039\n", - "2022-06-01 19:34:55,959\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00040\n", - "2022-06-01 19:34:55,993\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00041\n", - "2022-06-01 19:34:56,123\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00042\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00030:\n", - " accuracy: 0.4820717131474104\n", - " date: 2022-06-01_19-34-56\n", - " done: false\n", - " experiment_id: b3c577e7d4ba4e2a84ec8035ccdf983e\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11367\n", - " time_since_restore: 14.844868898391724\n", - " time_this_iter_s: 14.844868898391724\n", - " time_total_s: 14.844868898391724\n", - " timestamp: 1654101296\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00030\n", - " warmup_time: 0.005486965179443359\n", - " \n", - "Result for trainable_9e7a8_00030:\n", - " accuracy: 0.4820717131474104\n", - " date: 2022-06-01_19-34-56\n", - " done: true\n", - " experiment_id: b3c577e7d4ba4e2a84ec8035ccdf983e\n", - " experiment_tag: 30_k_dev=2.9362,value_type=high,window=60\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11367\n", - " time_since_restore: 14.844868898391724\n", - " time_this_iter_s: 14.844868898391724\n", - " time_total_s: 14.844868898391724\n", - " timestamp: 1654101296\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00030\n", - " warmup_time: 0.005486965179443359\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:34:56,966\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00043\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:02 (running for 00:01:11.19)
Memory usage on this node: 12.6/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 60/100 (16 PENDING, 12 RUNNING, 32 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00032RUNNING 192.168.1.14:115422.71263close 20 1 14.4148 0.505119
trainable_9e7a8_00033RUNNING 192.168.1.14:115451.61494close 15
trainable_9e7a8_00034RUNNING 192.168.1.14:115482.25605open 75
trainable_9e7a8_00035RUNNING 192.168.1.14:115491.19443high 95
trainable_9e7a8_00036RUNNING 192.168.1.14:117052.10051open 70
trainable_9e7a8_00037RUNNING 192.168.1.14:118032.1924 close 80
trainable_9e7a8_00038RUNNING 192.168.1.14:118203.33683low 80
trainable_9e7a8_00044PENDING 1.43104close 65
trainable_9e7a8_00045PENDING 2.24024open 65
trainable_9e7a8_00046PENDING 2.34936open 5
trainable_9e7a8_00047PENDING 3.95935open 55
trainable_9e7a8_00048PENDING 2.62893high 90
trainable_9e7a8_00049PENDING 2.98399close 55
trainable_9e7a8_00050PENDING 3.40408close 10
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 40 more trials not shown (5 RUNNING, 9 PENDING, 25 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00033:\n", - " accuracy: 0.48287506029908345\n", - " date: 2022-06-01_19-35-01\n", - " done: true\n", - " experiment_id: 72a7abc2eb9146ba8e5c09212fbaa3fa\n", - " experiment_tag: 33_k_dev=1.6149,value_type=close,window=15\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11545\n", - " time_since_restore: 15.1469144821167\n", - " time_this_iter_s: 15.1469144821167\n", - " time_total_s: 15.1469144821167\n", - " timestamp: 1654101301\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00033\n", - " warmup_time: 0.0038747787475585938\n", - " \n", - "Result for trainable_9e7a8_00034:\n", - " accuracy: 0.49657198824681686\n", - " date: 2022-06-01_19-35-03\n", - " done: false\n", - " experiment_id: 4752525a18c7492e9fc6d6f0a50502d7\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11548\n", - " time_since_restore: 15.908806800842285\n", - " time_this_iter_s: 15.908806800842285\n", - " time_total_s: 15.908806800842285\n", - " timestamp: 1654101303\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00034\n", - " warmup_time: 0.009506464004516602\n", - " \n", - "Result for trainable_9e7a8_00034:\n", - " accuracy: 0.49657198824681686\n", - " date: 2022-06-01_19-35-03\n", - " done: true\n", - " experiment_id: 4752525a18c7492e9fc6d6f0a50502d7\n", - " experiment_tag: 34_k_dev=2.256,value_type=open,window=75\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11548\n", - " time_since_restore: 15.908806800842285\n", - " time_this_iter_s: 15.908806800842285\n", - " time_total_s: 15.908806800842285\n", - " timestamp: 1654101303\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00034\n", - " warmup_time: 0.009506464004516602\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:04,071\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00044\n", - "2022-06-01 19:35:04,112\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00045\n", - "2022-06-01 19:35:04,160\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00046\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00035:\n", - " accuracy: 0.45585874799357945\n", - " date: 2022-06-01_19-35-05\n", - " done: false\n", - " experiment_id: 1694cadd332843a6a40865444a843b6a\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11549\n", - " time_since_restore: 17.696004152297974\n", - " time_this_iter_s: 17.696004152297974\n", - " time_total_s: 17.696004152297974\n", - " timestamp: 1654101305\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00035\n", - " warmup_time: 0.016307592391967773\n", - " \n", - "Result for trainable_9e7a8_00035:\n", - " accuracy: 0.45585874799357945\n", - " date: 2022-06-01_19-35-05\n", - " done: true\n", - " experiment_id: 1694cadd332843a6a40865444a843b6a\n", - " experiment_tag: 35_k_dev=1.1944,value_type=high,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11549\n", - " time_since_restore: 17.696004152297974\n", - " time_this_iter_s: 17.696004152297974\n", - " time_total_s: 17.696004152297974\n", - " timestamp: 1654101305\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00035\n", - " warmup_time: 0.016307592391967773\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:05,969\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00047\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:11 (running for 00:01:20.30)
Memory usage on this node: 12.6/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 63/100 (15 PENDING, 12 RUNNING, 36 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00036RUNNING 192.168.1.14:117052.10051open 70
trainable_9e7a8_00037RUNNING 192.168.1.14:118032.1924 close 80
trainable_9e7a8_00038RUNNING 192.168.1.14:118203.33683low 80
trainable_9e7a8_00039RUNNING 192.168.1.14:118342.42366open 95
trainable_9e7a8_00040RUNNING 192.168.1.14:118423.82909low 20
trainable_9e7a8_00041RUNNING 192.168.1.14:118441.00435low 40
trainable_9e7a8_00042RUNNING 192.168.1.14:118582.13066close 45
trainable_9e7a8_00048PENDING 2.62893high 90
trainable_9e7a8_00049PENDING 2.98399close 55
trainable_9e7a8_00050PENDING 3.40408close 10
trainable_9e7a8_00051PENDING 1.63469open 15
trainable_9e7a8_00052PENDING 1.55978close 60
trainable_9e7a8_00053PENDING 2.58736high 35
trainable_9e7a8_00054PENDING 1.46559low 50
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 43 more trials not shown (5 RUNNING, 8 PENDING, 29 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00036:\n", - " accuracy: 0.4790732436472347\n", - " date: 2022-06-01_19-35-09\n", - " done: false\n", - " experiment_id: daa35894c08f4289a2c2a28ba28251e5\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11705\n", - " time_since_restore: 15.722806215286255\n", - " time_this_iter_s: 15.722806215286255\n", - " time_total_s: 15.722806215286255\n", - " timestamp: 1654101309\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00036\n", - " warmup_time: 0.003968477249145508\n", - " \n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:11 (running for 00:01:20.57)
Memory usage on this node: 12.6/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 64/100 (16 PENDING, 12 RUNNING, 36 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00036RUNNING 192.168.1.14:117052.10051open 70 1 15.7228 0.479073
trainable_9e7a8_00037RUNNING 192.168.1.14:118032.1924 close 80
trainable_9e7a8_00038RUNNING 192.168.1.14:118203.33683low 80
trainable_9e7a8_00039RUNNING 192.168.1.14:118342.42366open 95
trainable_9e7a8_00040RUNNING 192.168.1.14:118423.82909low 20
trainable_9e7a8_00041RUNNING 192.168.1.14:118441.00435low 40
trainable_9e7a8_00042RUNNING 192.168.1.14:118582.13066close 45
trainable_9e7a8_00048PENDING 2.62893high 90
trainable_9e7a8_00049PENDING 2.98399close 55
trainable_9e7a8_00050PENDING 3.40408close 10
trainable_9e7a8_00051PENDING 1.63469open 15
trainable_9e7a8_00052PENDING 1.55978close 60
trainable_9e7a8_00053PENDING 2.58736high 35
trainable_9e7a8_00054PENDING 1.46559low 50
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 44 more trials not shown (5 RUNNING, 9 PENDING, 29 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00036:\n", - " accuracy: 0.4790732436472347\n", - " date: 2022-06-01_19-35-09\n", - " done: true\n", - " experiment_id: daa35894c08f4289a2c2a28ba28251e5\n", - " experiment_tag: 36_k_dev=2.1005,value_type=open,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11705\n", - " time_since_restore: 15.722806215286255\n", - " time_this_iter_s: 15.722806215286255\n", - " time_total_s: 15.722806215286255\n", - " timestamp: 1654101309\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00036\n", - " warmup_time: 0.003968477249145508\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:13,191\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00048\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00040:\n", - " accuracy: 0.5271317829457365\n", - " date: 2022-06-01_19-35-15\n", - " done: false\n", - " experiment_id: d0c8ead9b7334dc2bd05e36c89dff5ce\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11842\n", - " time_since_restore: 14.479460716247559\n", - " time_this_iter_s: 14.479460716247559\n", - " time_total_s: 14.479460716247559\n", - " timestamp: 1654101315\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00040\n", - " warmup_time: 0.005458354949951172\n", - " \n", - "Result for trainable_9e7a8_00040:\n", - " accuracy: 0.5271317829457365\n", - " date: 2022-06-01_19-35-15\n", - " done: true\n", - " experiment_id: d0c8ead9b7334dc2bd05e36c89dff5ce\n", - " experiment_tag: 40_k_dev=3.8291,value_type=low,window=20\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11842\n", - " time_since_restore: 14.479460716247559\n", - " time_this_iter_s: 14.479460716247559\n", - " time_total_s: 14.479460716247559\n", - " timestamp: 1654101315\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00040\n", - " warmup_time: 0.005458354949951172\n", - " \n", - "Result for trainable_9e7a8_00039:\n", - " accuracy: 0.511318242343542\n", - " date: 2022-06-01_19-35-16\n", - " done: false\n", - " experiment_id: 1d557ac66ae446f38f38ec0b8b245ba5\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11834\n", - " time_since_restore: 15.016530990600586\n", - " time_this_iter_s: 15.016530990600586\n", - " time_total_s: 15.016530990600586\n", - " timestamp: 1654101316\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00039\n", - " warmup_time: 0.010867118835449219\n", - " \n", - "Result for trainable_9e7a8_00039:\n", - " accuracy: 0.511318242343542\n", - " date: 2022-06-01_19-35-16\n", - " done: true\n", - " experiment_id: 1d557ac66ae446f38f38ec0b8b245ba5\n", - " experiment_tag: 39_k_dev=2.4237,value_type=open,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11834\n", - " time_since_restore: 15.016530990600586\n", - " time_this_iter_s: 15.016530990600586\n", - " time_total_s: 15.016530990600586\n", - " timestamp: 1654101316\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00039\n", - " warmup_time: 0.010867118835449219\n", - " \n", - "Result for trainable_9e7a8_00042:\n", - " accuracy: 0.48770894788593905\n", - " date: 2022-06-01_19-35-16\n", - " done: false\n", - " experiment_id: 4edf9b8f4ead4bd98ff0831e874863e4\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11858\n", - " time_since_restore: 15.049045085906982\n", - " time_this_iter_s: 15.049045085906982\n", - " time_total_s: 15.049045085906982\n", - " timestamp: 1654101316\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00042\n", - " warmup_time: 0.013311624526977539\n", - " \n", - "Result for trainable_9e7a8_00042:\n", - " accuracy: 0.48770894788593905\n", - " date: 2022-06-01_19-35-16\n", - " done: true\n", - " experiment_id: 4edf9b8f4ead4bd98ff0831e874863e4\n", - " experiment_tag: 42_k_dev=2.1307,value_type=close,window=45\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11858\n", - " time_since_restore: 15.049045085906982\n", - " time_this_iter_s: 15.049045085906982\n", - " time_total_s: 15.049045085906982\n", - " timestamp: 1654101316\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00042\n", - " warmup_time: 0.013311624526977539\n", - " \n", - "Result for trainable_9e7a8_00038:\n", - " accuracy: 0.5743243243243243\n", - " date: 2022-06-01_19-35-16\n", - " done: false\n", - " experiment_id: a266d42f6f4e4e519b19fd62c9a6bd09\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11820\n", - " time_since_restore: 15.951253652572632\n", - " time_this_iter_s: 15.951253652572632\n", - " time_total_s: 15.951253652572632\n", - " timestamp: 1654101316\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00038\n", - " warmup_time: 0.0055162906646728516\n", - " \n", - "Result for trainable_9e7a8_00038:\n", - " accuracy: 0.5743243243243243\n", - " date: 2022-06-01_19-35-16\n", - " done: true\n", - " experiment_id: a266d42f6f4e4e519b19fd62c9a6bd09\n", - " experiment_tag: 38_k_dev=3.3368,value_type=low,window=80\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11820\n", - " time_since_restore: 15.951253652572632\n", - " time_this_iter_s: 15.951253652572632\n", - " time_total_s: 15.951253652572632\n", - " timestamp: 1654101316\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00038\n", - " warmup_time: 0.0055162906646728516\n", - " \n", - "Result for trainable_9e7a8_00037:\n", - " accuracy: 0.48705179282868527\n", - " date: 2022-06-01_19-35-16\n", - " done: false\n", - " experiment_id: 23e9a939b7b341639e36eaf7352b4ff6\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11803\n", - " time_since_restore: 15.124496698379517\n", - " time_this_iter_s: 15.124496698379517\n", - " time_total_s: 15.124496698379517\n", - " timestamp: 1654101316\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00037\n", - " warmup_time: 0.006184577941894531\n", - " \n", - "Result for trainable_9e7a8_00037:\n", - " accuracy: 0.48705179282868527\n", - " date: 2022-06-01_19-35-16\n", - " done: true\n", - " experiment_id: 23e9a939b7b341639e36eaf7352b4ff6\n", - " experiment_tag: 37_k_dev=2.1924,value_type=close,window=80\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11803\n", - " time_since_restore: 15.124496698379517\n", - " time_this_iter_s: 15.124496698379517\n", - " time_total_s: 15.124496698379517\n", - " timestamp: 1654101316\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00037\n", - " warmup_time: 0.006184577941894531\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:16,693\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00049\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:20 (running for 00:01:29.34)
Memory usage on this node: 12.2/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 8.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 65/100 (15 PENDING, 8 RUNNING, 42 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00041RUNNING 192.168.1.14:118441.00435low 40
trainable_9e7a8_00043RUNNING 192.168.1.14:118603.78005low 70
trainable_9e7a8_00044RUNNING 192.168.1.14:121231.43104close 65
trainable_9e7a8_00045RUNNING 192.168.1.14:121412.24024open 65
trainable_9e7a8_00046RUNNING 192.168.1.14:121452.34936open 5
trainable_9e7a8_00047RUNNING 192.168.1.14:122233.95935open 55
trainable_9e7a8_00048RUNNING 192.168.1.14:123042.62893high 90
trainable_9e7a8_00050PENDING 3.40408close 10
trainable_9e7a8_00051PENDING 1.63469open 15
trainable_9e7a8_00052PENDING 1.55978close 60
trainable_9e7a8_00053PENDING 2.58736high 35
trainable_9e7a8_00054PENDING 1.46559low 50
trainable_9e7a8_00055PENDING 2.74483high 70
trainable_9e7a8_00056PENDING 2.93169open 20
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 45 more trials not shown (1 RUNNING, 8 PENDING, 35 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:20,517\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00050\n", - "2022-06-01 19:35:20,531\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00051\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n", - "2022-06-01 19:35:20,609\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00052\n", - "2022-06-01 19:35:20,660\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00053\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00041:\n", - " accuracy: 0.4559420801695215\n", - " date: 2022-06-01_19-35-18\n", - " done: false\n", - " experiment_id: 4e3a01830cf74d4bbacde00caf0acf99\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11844\n", - " time_since_restore: 17.168471574783325\n", - " time_this_iter_s: 17.168471574783325\n", - " time_total_s: 17.168471574783325\n", - " timestamp: 1654101318\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00041\n", - " warmup_time: 0.006995439529418945\n", - " \n", - "Result for trainable_9e7a8_00043:\n", - " accuracy: 0.55\n", - " date: 2022-06-01_19-35-17\n", - " done: false\n", - " experiment_id: 750e296811534dfb971470074e788537\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11860\n", - " time_since_restore: 14.797376871109009\n", - " time_this_iter_s: 14.797376871109009\n", - " time_total_s: 14.797376871109009\n", - " timestamp: 1654101317\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00043\n", - " warmup_time: 0.005739450454711914\n", - " \n", - "Result for trainable_9e7a8_00041:\n", - " accuracy: 0.4559420801695215\n", - " date: 2022-06-01_19-35-18\n", - " done: true\n", - " experiment_id: 4e3a01830cf74d4bbacde00caf0acf99\n", - " experiment_tag: 41_k_dev=1.0043,value_type=low,window=40\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11844\n", - " time_since_restore: 17.168471574783325\n", - " time_this_iter_s: 17.168471574783325\n", - " time_total_s: 17.168471574783325\n", - " timestamp: 1654101318\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00041\n", - " warmup_time: 0.006995439529418945\n", - " \n", - "Result for trainable_9e7a8_00043:\n", - " accuracy: 0.55\n", - " date: 2022-06-01_19-35-17\n", - " done: true\n", - " experiment_id: 750e296811534dfb971470074e788537\n", - " experiment_tag: 43_k_dev=3.78,value_type=low,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 11860\n", - " time_since_restore: 14.797376871109009\n", - " time_this_iter_s: 14.797376871109009\n", - " time_total_s: 14.797376871109009\n", - " timestamp: 1654101317\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00043\n", - " warmup_time: 0.005739450454711914\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:20,973\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00054\n", - "2022-06-01 19:35:21,009\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00055\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00045:\n", - " accuracy: 0.4852801519468186\n", - " date: 2022-06-01_19-35-21\n", - " done: false\n", - " experiment_id: 62b7fa35c807470da7739613f2d8e43b\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12141\n", - " time_since_restore: 12.428421974182129\n", - " time_this_iter_s: 12.428421974182129\n", - " time_total_s: 12.428421974182129\n", - " timestamp: 1654101321\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00045\n", - " warmup_time: 0.004401445388793945\n", - " \n", - "Result for trainable_9e7a8_00045:\n", - " accuracy: 0.4852801519468186\n", - " date: 2022-06-01_19-35-21\n", - " done: true\n", - " experiment_id: 62b7fa35c807470da7739613f2d8e43b\n", - " experiment_tag: 45_k_dev=2.2402,value_type=open,window=65\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12141\n", - " time_since_restore: 12.428421974182129\n", - " time_this_iter_s: 12.428421974182129\n", - " time_total_s: 12.428421974182129\n", - " timestamp: 1654101321\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00045\n", - " warmup_time: 0.004401445388793945\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:21,973\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00056\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:26 (running for 00:01:35.47)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 72/100 (15 PENDING, 12 RUNNING, 45 TERMINATED)
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00044RUNNING 192.168.1.14:121231.43104close 65
trainable_9e7a8_00046RUNNING 192.168.1.14:121452.34936open 5
trainable_9e7a8_00047RUNNING 192.168.1.14:122233.95935open 55
trainable_9e7a8_00048RUNNING 192.168.1.14:123042.62893high 90
trainable_9e7a8_00049RUNNING 192.168.1.14:123642.98399close 55
trainable_9e7a8_00050RUNNING 192.168.1.14:124563.40408close 10
trainable_9e7a8_00051RUNNING 192.168.1.14:124581.63469open 15
trainable_9e7a8_00057PENDING 3.34213high 10
trainable_9e7a8_00058PENDING 1.98504high 60
trainable_9e7a8_00059PENDING 2.80529open 75
trainable_9e7a8_00060PENDING 1.24152close 75
trainable_9e7a8_00061PENDING 2.58144close 70
trainable_9e7a8_00062PENDING 1.61595close 85
trainable_9e7a8_00063PENDING 1.88298low 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 52 more trials not shown (5 RUNNING, 8 PENDING, 38 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00046:\n", - " accuracy: 0.46997206703910616\n", - " date: 2022-06-01_19-35-23\n", - " done: false\n", - " experiment_id: 7941b8b196064738920ad87807417300\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12145\n", - " time_since_restore: 13.997588396072388\n", - " time_this_iter_s: 13.997588396072388\n", - " time_total_s: 13.997588396072388\n", - " timestamp: 1654101323\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00046\n", - " warmup_time: 0.011566638946533203\n", - " \n", - "Result for trainable_9e7a8_00046:\n", - " accuracy: 0.46997206703910616\n", - " date: 2022-06-01_19-35-23\n", - " done: true\n", - " experiment_id: 7941b8b196064738920ad87807417300\n", - " experiment_tag: 46_k_dev=2.3494,value_type=open,window=5\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12145\n", - " time_since_restore: 13.997588396072388\n", - " time_this_iter_s: 13.997588396072388\n", - " time_total_s: 13.997588396072388\n", - " timestamp: 1654101323\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00046\n", - " warmup_time: 0.011566638946533203\n", - " \n", - "Result for trainable_9e7a8_00044:\n", - " accuracy: 0.4702558001189768\n", - " date: 2022-06-01_19-35-22\n", - " done: false\n", - " experiment_id: acce403d631e4f8bb4d1d7fa4cc150af\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12123\n", - " time_since_restore: 13.797248363494873\n", - " time_this_iter_s: 13.797248363494873\n", - " time_total_s: 13.797248363494873\n", - " timestamp: 1654101322\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00044\n", - " warmup_time: 0.006886482238769531\n", - " \n", - "Result for trainable_9e7a8_00047:\n", - " accuracy: 0.559322033898305\n", - " date: 2022-06-01_19-35-23\n", - " done: false\n", - " experiment_id: 7948274e350043a2a652c3c1bcc9f67c\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12223\n", - " time_since_restore: 11.89772629737854\n", - " time_this_iter_s: 11.89772629737854\n", - " time_total_s: 11.89772629737854\n", - " timestamp: 1654101323\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00047\n", - " warmup_time: 0.0060422420501708984\n", - " \n", - "Result for trainable_9e7a8_00044:\n", - " accuracy: 0.4702558001189768\n", - " date: 2022-06-01_19-35-22\n", - " done: true\n", - " experiment_id: acce403d631e4f8bb4d1d7fa4cc150af\n", - " experiment_tag: 44_k_dev=1.431,value_type=close,window=65\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12123\n", - " time_since_restore: 13.797248363494873\n", - " time_this_iter_s: 13.797248363494873\n", - " time_total_s: 13.797248363494873\n", - " timestamp: 1654101322\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00044\n", - " warmup_time: 0.006886482238769531\n", - " \n", - "Result for trainable_9e7a8_00047:\n", - " accuracy: 0.559322033898305\n", - " date: 2022-06-01_19-35-23\n", - " done: true\n", - " experiment_id: 7948274e350043a2a652c3c1bcc9f67c\n", - " experiment_tag: 47_k_dev=3.9594,value_type=open,window=55\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12223\n", - " time_since_restore: 11.89772629737854\n", - " time_this_iter_s: 11.89772629737854\n", - " time_total_s: 11.89772629737854\n", - " timestamp: 1654101323\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00047\n", - " warmup_time: 0.0060422420501708984\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:28,043\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00057\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:32 (running for 00:01:41.20)
Memory usage on this node: 12.5/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 10.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 73/100 (15 PENDING, 10 RUNNING, 48 TERMINATED)
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00048RUNNING 192.168.1.14:123042.62893high 90
trainable_9e7a8_00049RUNNING 192.168.1.14:123642.98399close 55
trainable_9e7a8_00050RUNNING 192.168.1.14:124563.40408close 10
trainable_9e7a8_00051RUNNING 192.168.1.14:124581.63469open 15
trainable_9e7a8_00052RUNNING 192.168.1.14:124591.55978close 60
trainable_9e7a8_00053RUNNING 192.168.1.14:124612.58736high 35
trainable_9e7a8_00054RUNNING 192.168.1.14:124661.46559low 50
trainable_9e7a8_00058PENDING 1.98504high 60
trainable_9e7a8_00059PENDING 2.80529open 75
trainable_9e7a8_00060PENDING 1.24152close 75
trainable_9e7a8_00061PENDING 2.58144close 70
trainable_9e7a8_00062PENDING 1.61595close 85
trainable_9e7a8_00063PENDING 1.88298low 80
trainable_9e7a8_00064PENDING 2.87921high 95
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 53 more trials not shown (3 RUNNING, 8 PENDING, 41 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:32,348\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00058\n", - "2022-06-01 19:35:32,490\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00059\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00048:\n", - " accuracy: 0.49904397705544934\n", - " date: 2022-06-01_19-35-28\n", - " done: false\n", - " experiment_id: e63c950340b3499ebaa130030eea569f\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12304\n", - " time_since_restore: 11.239783525466919\n", - " time_this_iter_s: 11.239783525466919\n", - " time_total_s: 11.239783525466919\n", - " timestamp: 1654101328\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00048\n", - " warmup_time: 0.003180265426635742\n", - " \n", - "Result for trainable_9e7a8_00048:\n", - " accuracy: 0.49904397705544934\n", - " date: 2022-06-01_19-35-28\n", - " done: true\n", - " experiment_id: e63c950340b3499ebaa130030eea569f\n", - " experiment_tag: 48_k_dev=2.6289,value_type=high,window=90\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12304\n", - " time_since_restore: 11.239783525466919\n", - " time_this_iter_s: 11.239783525466919\n", - " time_total_s: 11.239783525466919\n", - " timestamp: 1654101328\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00048\n", - " warmup_time: 0.003180265426635742\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:32,978\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00060\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00049:\n", - " accuracy: 0.4858757062146893\n", - " date: 2022-06-01_19-35-34\n", - " done: false\n", - " experiment_id: 30895e40e00b4f6685c32171aefc61cc\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12364\n", - " time_since_restore: 13.648305654525757\n", - " time_this_iter_s: 13.648305654525757\n", - " time_total_s: 13.648305654525757\n", - " timestamp: 1654101334\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00049\n", - " warmup_time: 0.0028488636016845703\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:37 (running for 00:01:46.85)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 77/100 (16 PENDING, 12 RUNNING, 49 TERMINATED)
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00049RUNNING 192.168.1.14:123642.98399close 55 1 13.6483 0.485876
trainable_9e7a8_00050RUNNING 192.168.1.14:124563.40408close 10
trainable_9e7a8_00051RUNNING 192.168.1.14:124581.63469open 15
trainable_9e7a8_00052RUNNING 192.168.1.14:124591.55978close 60
trainable_9e7a8_00053RUNNING 192.168.1.14:124612.58736high 35
trainable_9e7a8_00054RUNNING 192.168.1.14:124661.46559low 50
trainable_9e7a8_00055RUNNING 192.168.1.14:124682.74483high 70
trainable_9e7a8_00061PENDING 2.58144close 70
trainable_9e7a8_00062PENDING 1.61595close 85
trainable_9e7a8_00063PENDING 1.88298low 80
trainable_9e7a8_00064PENDING 2.87921high 95
trainable_9e7a8_00065PENDING 3.3177 low 40
trainable_9e7a8_00066PENDING 1.65135close 75
trainable_9e7a8_00067PENDING 2.71342low 95
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 57 more trials not shown (5 RUNNING, 9 PENDING, 42 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00050:\n", - " accuracy: 0.125\n", - " date: 2022-06-01_19-35-36\n", - " done: false\n", - " experiment_id: ec43fab210744f0d87c7cf7c34054e82\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12456\n", - " time_since_restore: 12.250865697860718\n", - " time_this_iter_s: 12.250865697860718\n", - " time_total_s: 12.250865697860718\n", - " timestamp: 1654101336\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00050\n", - " warmup_time: 0.005457401275634766\n", - " \n", - "Result for trainable_9e7a8_00055:\n", - " accuracy: 0.489247311827957\n", - " date: 2022-06-01_19-35-38\n", - " done: false\n", - " experiment_id: 7a00014ee9ee4dcc8ecce8a971564269\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12468\n", - " time_since_restore: 12.681321144104004\n", - " time_this_iter_s: 12.681321144104004\n", - " time_total_s: 12.681321144104004\n", - " timestamp: 1654101338\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00055\n", - " warmup_time: 0.003793954849243164\n", - " \n", - "Result for trainable_9e7a8_00050:\n", - " accuracy: 0.125\n", - " date: 2022-06-01_19-35-36\n", - " done: true\n", - " experiment_id: ec43fab210744f0d87c7cf7c34054e82\n", - " experiment_tag: 50_k_dev=3.4041,value_type=close,window=10\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12456\n", - " time_since_restore: 12.250865697860718\n", - " time_this_iter_s: 12.250865697860718\n", - " time_total_s: 12.250865697860718\n", - " timestamp: 1654101336\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00050\n", - " warmup_time: 0.005457401275634766\n", - " \n", - "Result for trainable_9e7a8_00049:\n", - " accuracy: 0.4858757062146893\n", - " date: 2022-06-01_19-35-34\n", - " done: true\n", - " experiment_id: 30895e40e00b4f6685c32171aefc61cc\n", - " experiment_tag: 49_k_dev=2.984,value_type=close,window=55\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12364\n", - " time_since_restore: 13.648305654525757\n", - " time_this_iter_s: 13.648305654525757\n", - " time_total_s: 13.648305654525757\n", - " timestamp: 1654101334\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00049\n", - " warmup_time: 0.0028488636016845703\n", - " \n", - "Result for trainable_9e7a8_00055:\n", - " accuracy: 0.489247311827957\n", - " date: 2022-06-01_19-35-38\n", - " done: true\n", - " experiment_id: 7a00014ee9ee4dcc8ecce8a971564269\n", - " experiment_tag: 55_k_dev=2.7448,value_type=high,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12468\n", - " time_since_restore: 12.681321144104004\n", - " time_this_iter_s: 12.681321144104004\n", - " time_total_s: 12.681321144104004\n", - " timestamp: 1654101338\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00055\n", - " warmup_time: 0.003793954849243164\n", - " \n", - "Result for trainable_9e7a8_00052:\n", - " accuracy: 0.47584973166368516\n", - " date: 2022-06-01_19-35-38\n", - " done: false\n", - " experiment_id: 3706599cf6524c7b82771ab7adc8c66d\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12459\n", - " time_since_restore: 13.855209827423096\n", - " time_this_iter_s: 13.855209827423096\n", - " time_total_s: 13.855209827423096\n", - " timestamp: 1654101338\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00052\n", - " warmup_time: 0.010962724685668945\n", - " \n", - "Result for trainable_9e7a8_00052:\n", - " accuracy: 0.47584973166368516\n", - " date: 2022-06-01_19-35-38\n", - " done: true\n", - " experiment_id: 3706599cf6524c7b82771ab7adc8c66d\n", - " experiment_tag: 52_k_dev=1.5598,value_type=close,window=60\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12459\n", - " time_since_restore: 13.855209827423096\n", - " time_this_iter_s: 13.855209827423096\n", - " time_total_s: 13.855209827423096\n", - " timestamp: 1654101338\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00052\n", - " warmup_time: 0.010962724685668945\n", - " \n", - "Result for trainable_9e7a8_00054:\n", - " accuracy: 0.4714795008912656\n", - " date: 2022-06-01_19-35-38\n", - " done: false\n", - " experiment_id: 17dea376587c41a0a26528298910e3dc\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12466\n", - " time_since_restore: 13.265269756317139\n", - " time_this_iter_s: 13.265269756317139\n", - " time_total_s: 13.265269756317139\n", - " timestamp: 1654101338\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00054\n", - " warmup_time: 0.01656317710876465\n", - " \n", - "Result for trainable_9e7a8_00054:\n", - " accuracy: 0.4714795008912656\n", - " date: 2022-06-01_19-35-38\n", - " done: true\n", - " experiment_id: 17dea376587c41a0a26528298910e3dc\n", - " experiment_tag: 54_k_dev=1.4656,value_type=low,window=50\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12466\n", - " time_since_restore: 13.265269756317139\n", - " time_this_iter_s: 13.265269756317139\n", - " time_total_s: 13.265269756317139\n", - " timestamp: 1654101338\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00054\n", - " warmup_time: 0.01656317710876465\n", - " \n", - "Result for trainable_9e7a8_00051:\n", - " accuracy: 0.47394446557626474\n", - " date: 2022-06-01_19-35-38\n", - " done: false\n", - " experiment_id: 7181eb7e2b5e44339db85fb4e61766ff\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12458\n", - " time_since_restore: 13.853472471237183\n", - " time_this_iter_s: 13.853472471237183\n", - " time_total_s: 13.853472471237183\n", - " timestamp: 1654101338\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00051\n", - " warmup_time: 0.007745981216430664\n", - " \n", - "Result for trainable_9e7a8_00051:\n", - " accuracy: 0.47394446557626474\n", - " date: 2022-06-01_19-35-38\n", - " done: true\n", - " experiment_id: 7181eb7e2b5e44339db85fb4e61766ff\n", - " experiment_tag: 51_k_dev=1.6347,value_type=open,window=15\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12458\n", - " time_since_restore: 13.853472471237183\n", - " time_this_iter_s: 13.853472471237183\n", - " time_total_s: 13.853472471237183\n", - " timestamp: 1654101338\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00051\n", - " warmup_time: 0.007745981216430664\n", - " \n", - "Result for trainable_9e7a8_00053:\n", - " accuracy: 0.44356435643564357\n", - " date: 2022-06-01_19-35-39\n", - " done: false\n", - " experiment_id: 9b6c2e5c908b4fb2bb70db679c9b16a4\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12461\n", - " time_since_restore: 13.831803560256958\n", - " time_this_iter_s: 13.831803560256958\n", - " time_total_s: 13.831803560256958\n", - " timestamp: 1654101339\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00053\n", - " warmup_time: 0.0035173892974853516\n", - " \n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:39 (running for 00:01:48.23)
Memory usage on this node: 12.1/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 6.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 77/100 (16 PENDING, 6 RUNNING, 55 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00053RUNNING 192.168.1.14:124612.58736high 35 1 13.8318 0.443564
trainable_9e7a8_00056RUNNING 192.168.1.14:124712.93169open 20
trainable_9e7a8_00057RUNNING 192.168.1.14:127763.34213high 10
trainable_9e7a8_00058RUNNING 192.168.1.14:128471.98504high 60
trainable_9e7a8_00059RUNNING 192.168.1.14:128492.80529open 75
trainable_9e7a8_00060RUNNING 192.168.1.14:128521.24152close 75
trainable_9e7a8_00061PENDING 2.58144close 70
trainable_9e7a8_00062PENDING 1.61595close 85
trainable_9e7a8_00063PENDING 1.88298low 80
trainable_9e7a8_00064PENDING 2.87921high 95
trainable_9e7a8_00065PENDING 3.3177 low 40
trainable_9e7a8_00066PENDING 1.65135close 75
trainable_9e7a8_00067PENDING 2.71342low 95
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 57 more trials not shown (9 PENDING, 48 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00053:\n", - " accuracy: 0.44356435643564357\n", - " date: 2022-06-01_19-35-39\n", - " done: true\n", - " experiment_id: 9b6c2e5c908b4fb2bb70db679c9b16a4\n", - " experiment_tag: 53_k_dev=2.5874,value_type=high,window=35\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12461\n", - " time_since_restore: 13.831803560256958\n", - " time_this_iter_s: 13.831803560256958\n", - " time_total_s: 13.831803560256958\n", - " timestamp: 1654101339\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00053\n", - " warmup_time: 0.0035173892974853516\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:39,944\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00061\n", - "2022-06-01 19:35:39,963\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00062\n", - "2022-06-01 19:35:39,984\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00063\n", - "2022-06-01 19:35:40,032\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00064\n", - "2022-06-01 19:35:40,061\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00065\n", - "2022-06-01 19:35:40,089\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00066\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00056:\n", - " accuracy: 0.5165692007797271\n", - " date: 2022-06-01_19-35-39\n", - " done: false\n", - " experiment_id: b19b5a008d5241d69de78d3f863ff9a3\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12471\n", - " time_since_restore: 13.42310881614685\n", - " time_this_iter_s: 13.42310881614685\n", - " time_total_s: 13.42310881614685\n", - " timestamp: 1654101339\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00056\n", - " warmup_time: 0.004828929901123047\n", - " \n", - "Result for trainable_9e7a8_00056:\n", - " accuracy: 0.5165692007797271\n", - " date: 2022-06-01_19-35-39\n", - " done: true\n", - " experiment_id: b19b5a008d5241d69de78d3f863ff9a3\n", - " experiment_tag: 56_k_dev=2.9317,value_type=open,window=20\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12471\n", - " time_since_restore: 13.42310881614685\n", - " time_this_iter_s: 13.42310881614685\n", - " time_total_s: 13.42310881614685\n", - " timestamp: 1654101339\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00056\n", - " warmup_time: 0.004828929901123047\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:40,142\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00067\n", - "2022-06-01 19:35:40,182\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00068\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:46 (running for 00:01:55.39)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 85/100 (16 PENDING, 12 RUNNING, 57 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00057RUNNING 192.168.1.14:127763.34213high 10
trainable_9e7a8_00058RUNNING 192.168.1.14:128471.98504high 60
trainable_9e7a8_00059RUNNING 192.168.1.14:128492.80529open 75
trainable_9e7a8_00060RUNNING 192.168.1.14:128521.24152close 75
trainable_9e7a8_00061RUNNING 192.168.1.14:130832.58144close 70
trainable_9e7a8_00062RUNNING 192.168.1.14:130891.61595close 85
trainable_9e7a8_00063RUNNING 192.168.1.14:131061.88298low 80
trainable_9e7a8_00069PENDING 3.82523low 70
trainable_9e7a8_00070PENDING 1.268 low 60
trainable_9e7a8_00071PENDING 3.12592high 80
trainable_9e7a8_00072PENDING 3.23254low 30
trainable_9e7a8_00073PENDING 1.90762close 90
trainable_9e7a8_00074PENDING 2.52124low 45
trainable_9e7a8_00075PENDING 2.42818close 20
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 65 more trials not shown (5 RUNNING, 9 PENDING, 50 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00057:\n", - " accuracy: 0.47774480712166173\n", - " date: 2022-06-01_19-35-46\n", - " done: false\n", - " experiment_id: 12c7c0edfcc14691ac9ced451f9b7c9e\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12776\n", - " time_since_restore: 14.150588035583496\n", - " time_this_iter_s: 14.150588035583496\n", - " time_total_s: 14.150588035583496\n", - " timestamp: 1654101346\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00057\n", - " warmup_time: 0.0038924217224121094\n", - " \n", - "Result for trainable_9e7a8_00057:\n", - " accuracy: 0.47774480712166173\n", - " date: 2022-06-01_19-35-46\n", - " done: true\n", - " experiment_id: 12c7c0edfcc14691ac9ced451f9b7c9e\n", - " experiment_tag: 57_k_dev=3.3421,value_type=high,window=10\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12776\n", - " time_since_restore: 14.150588035583496\n", - " time_this_iter_s: 14.150588035583496\n", - " time_total_s: 14.150588035583496\n", - " timestamp: 1654101346\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00057\n", - " warmup_time: 0.0038924217224121094\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:49,333\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00069\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00059:\n", - " accuracy: 0.5254237288135594\n", - " date: 2022-06-01_19-35-52\n", - " done: false\n", - " experiment_id: d2c454abfc4a4292bb1c8c1e5594e0d5\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12849\n", - " time_since_restore: 15.423451900482178\n", - " time_this_iter_s: 15.423451900482178\n", - " time_total_s: 15.423451900482178\n", - " timestamp: 1654101352\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00059\n", - " warmup_time: 0.005212306976318359\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:35:54 (running for 00:02:03.03)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 86/100 (16 PENDING, 12 RUNNING, 58 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00058RUNNING 192.168.1.14:128471.98504high 60
trainable_9e7a8_00059RUNNING 192.168.1.14:128492.80529open 75 1 15.4235 0.525424
trainable_9e7a8_00060RUNNING 192.168.1.14:128521.24152close 75
trainable_9e7a8_00061RUNNING 192.168.1.14:130832.58144close 70
trainable_9e7a8_00062RUNNING 192.168.1.14:130891.61595close 85
trainable_9e7a8_00063RUNNING 192.168.1.14:131061.88298low 80
trainable_9e7a8_00064RUNNING 192.168.1.14:131282.87921high 95
trainable_9e7a8_00070PENDING 1.268 low 60
trainable_9e7a8_00071PENDING 3.12592high 80
trainable_9e7a8_00072PENDING 3.23254low 30
trainable_9e7a8_00073PENDING 1.90762close 90
trainable_9e7a8_00074PENDING 2.52124low 45
trainable_9e7a8_00075PENDING 2.42818close 20
trainable_9e7a8_00076PENDING 3.99823high 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 66 more trials not shown (5 RUNNING, 9 PENDING, 51 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00059:\n", - " accuracy: 0.5254237288135594\n", - " date: 2022-06-01_19-35-52\n", - " done: true\n", - " experiment_id: d2c454abfc4a4292bb1c8c1e5594e0d5\n", - " experiment_tag: 59_k_dev=2.8053,value_type=open,window=75\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12849\n", - " time_since_restore: 15.423451900482178\n", - " time_this_iter_s: 15.423451900482178\n", - " time_total_s: 15.423451900482178\n", - " timestamp: 1654101352\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00059\n", - " warmup_time: 0.005212306976318359\n", - " \n", - "Result for trainable_9e7a8_00058:\n", - " accuracy: 0.468586387434555\n", - " date: 2022-06-01_19-35-53\n", - " done: false\n", - " experiment_id: aeb057a6616a4893a88eda95e5ba04db\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12847\n", - " time_since_restore: 16.30258345603943\n", - " time_this_iter_s: 16.30258345603943\n", - " time_total_s: 16.30258345603943\n", - " timestamp: 1654101353\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00058\n", - " warmup_time: 0.00798487663269043\n", - " \n", - "Result for trainable_9e7a8_00058:\n", - " accuracy: 0.468586387434555\n", - " date: 2022-06-01_19-35-53\n", - " done: true\n", - " experiment_id: aeb057a6616a4893a88eda95e5ba04db\n", - " experiment_tag: 58_k_dev=1.985,value_type=high,window=60\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12847\n", - " time_since_restore: 16.30258345603943\n", - " time_this_iter_s: 16.30258345603943\n", - " time_total_s: 16.30258345603943\n", - " timestamp: 1654101353\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00058\n", - " warmup_time: 0.00798487663269043\n", - " \n", - "Result for trainable_9e7a8_00060:\n", - " accuracy: 0.4608654528257271\n", - " date: 2022-06-01_19-35-54\n", - " done: false\n", - " experiment_id: 73c45794874949818df555af27cf4588\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12852\n", - " time_since_restore: 17.009721755981445\n", - " time_this_iter_s: 17.009721755981445\n", - " time_total_s: 17.009721755981445\n", - " timestamp: 1654101354\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00060\n", - " warmup_time: 0.007467985153198242\n", - " \n", - "Result for trainable_9e7a8_00060:\n", - " accuracy: 0.4608654528257271\n", - " date: 2022-06-01_19-35-54\n", - " done: true\n", - " experiment_id: 73c45794874949818df555af27cf4588\n", - " experiment_tag: 60_k_dev=1.2415,value_type=close,window=75\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 12852\n", - " time_since_restore: 17.009721755981445\n", - " time_this_iter_s: 17.009721755981445\n", - " time_total_s: 17.009721755981445\n", - " timestamp: 1654101354\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00060\n", - " warmup_time: 0.007467985153198242\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:35:56,305\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00070\n", - "2022-06-01 19:35:56,369\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00071\n", - "2022-06-01 19:35:56,417\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00072\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00065:\n", - " accuracy: 0.5490196078431373\n", - " date: 2022-06-01_19-35-59\n", - " done: false\n", - " experiment_id: b93434890af74b569340a211980de915\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13130\n", - " time_since_restore: 14.733199119567871\n", - " time_this_iter_s: 14.733199119567871\n", - " time_total_s: 14.733199119567871\n", - " timestamp: 1654101359\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00065\n", - " warmup_time: 0.005694150924682617\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:01 (running for 00:02:10.20)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 89/100 (16 PENDING, 12 RUNNING, 61 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00061RUNNING 192.168.1.14:130832.58144close 70
trainable_9e7a8_00062RUNNING 192.168.1.14:130891.61595close 85
trainable_9e7a8_00063RUNNING 192.168.1.14:131061.88298low 80
trainable_9e7a8_00064RUNNING 192.168.1.14:131282.87921high 95
trainable_9e7a8_00065RUNNING 192.168.1.14:131303.3177 low 40 1 14.7332 0.54902
trainable_9e7a8_00066RUNNING 192.168.1.14:131321.65135close 75
trainable_9e7a8_00067RUNNING 192.168.1.14:131332.71342low 95
trainable_9e7a8_00073PENDING 1.90762close 90
trainable_9e7a8_00074PENDING 2.52124low 45
trainable_9e7a8_00075PENDING 2.42818close 20
trainable_9e7a8_00076PENDING 3.99823high 80
trainable_9e7a8_00077PENDING 1.21075high 65
trainable_9e7a8_00078PENDING 1.62677open 5
trainable_9e7a8_00079PENDING 3.45973open 90
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 69 more trials not shown (5 RUNNING, 9 PENDING, 54 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00062:\n", - " accuracy: 0.4754601226993865\n", - " date: 2022-06-01_19-36-00\n", - " done: false\n", - " experiment_id: aa26a83503aa4dc6a671a888b1e0135d\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13089\n", - " time_since_restore: 15.619421482086182\n", - " time_this_iter_s: 15.619421482086182\n", - " time_total_s: 15.619421482086182\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00062\n", - " warmup_time: 0.0051763057708740234\n", - " \n", - "Result for trainable_9e7a8_00066:\n", - " accuracy: 0.4742676167854315\n", - " date: 2022-06-01_19-36-01\n", - " done: false\n", - " experiment_id: f55808ee9dbe4868801fd20b02bd0f1b\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13132\n", - " time_since_restore: 15.999192237854004\n", - " time_this_iter_s: 15.999192237854004\n", - " time_total_s: 15.999192237854004\n", - " timestamp: 1654101361\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00066\n", - " warmup_time: 0.0056378841400146484\n", - " \n", - "Result for trainable_9e7a8_00061:\n", - " accuracy: 0.5103734439834025\n", - " date: 2022-06-01_19-36-00\n", - " done: false\n", - " experiment_id: 95898e23e88b4be4b70f03befd4651aa\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13083\n", - " time_since_restore: 14.885961055755615\n", - " time_this_iter_s: 14.885961055755615\n", - " time_total_s: 14.885961055755615\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00061\n", - " warmup_time: 0.006001949310302734\n", - " \n", - "Result for trainable_9e7a8_00064:\n", - " accuracy: 0.5014164305949008\n", - " date: 2022-06-01_19-36-00\n", - " done: false\n", - " experiment_id: 4ad91f70d6374c9b8b4b83478761c8c5\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13128\n", - " time_since_restore: 15.386110305786133\n", - " time_this_iter_s: 15.386110305786133\n", - " time_total_s: 15.386110305786133\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00064\n", - " warmup_time: 0.006777763366699219\n", - " \n", - "Result for trainable_9e7a8_00065:\n", - " accuracy: 0.5490196078431373\n", - " date: 2022-06-01_19-35-59\n", - " done: true\n", - " experiment_id: b93434890af74b569340a211980de915\n", - " experiment_tag: 65_k_dev=3.3177,value_type=low,window=40\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13130\n", - " time_since_restore: 14.733199119567871\n", - " time_this_iter_s: 14.733199119567871\n", - " time_total_s: 14.733199119567871\n", - " timestamp: 1654101359\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00065\n", - " warmup_time: 0.005694150924682617\n", - " \n", - "Result for trainable_9e7a8_00067:\n", - " accuracy: 0.5328947368421053\n", - " date: 2022-06-01_19-36-00\n", - " done: false\n", - " experiment_id: 8a45b6f7749247de833b2f00309002f8\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13133\n", - " time_since_restore: 15.050776243209839\n", - " time_this_iter_s: 15.050776243209839\n", - " time_total_s: 15.050776243209839\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00067\n", - " warmup_time: 0.005591630935668945\n", - " \n", - "Result for trainable_9e7a8_00062:\n", - " accuracy: 0.4754601226993865\n", - " date: 2022-06-01_19-36-00\n", - " done: true\n", - " experiment_id: aa26a83503aa4dc6a671a888b1e0135d\n", - " experiment_tag: 62_k_dev=1.6159,value_type=close,window=85\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13089\n", - " time_since_restore: 15.619421482086182\n", - " time_this_iter_s: 15.619421482086182\n", - " time_total_s: 15.619421482086182\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00062\n", - " warmup_time: 0.0051763057708740234\n", - " \n", - "Result for trainable_9e7a8_00063:\n", - " accuracy: 0.4846322722283205\n", - " date: 2022-06-01_19-36-00\n", - " done: false\n", - " experiment_id: abede3d95a27446cb5573a65e71b4463\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13106\n", - " time_since_restore: 14.994568586349487\n", - " time_this_iter_s: 14.994568586349487\n", - " time_total_s: 14.994568586349487\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00063\n", - " warmup_time: 0.01875782012939453\n", - " \n", - "Result for trainable_9e7a8_00064:\n", - " accuracy: 0.5014164305949008\n", - " date: 2022-06-01_19-36-00\n", - " done: true\n", - " experiment_id: 4ad91f70d6374c9b8b4b83478761c8c5\n", - " experiment_tag: 64_k_dev=2.8792,value_type=high,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13128\n", - " time_since_restore: 15.386110305786133\n", - " time_this_iter_s: 15.386110305786133\n", - " time_total_s: 15.386110305786133\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00064\n", - " warmup_time: 0.006777763366699219\n", - " \n", - "Result for trainable_9e7a8_00066:\n", - " accuracy: 0.4742676167854315\n", - " date: 2022-06-01_19-36-01\n", - " done: true\n", - " experiment_id: f55808ee9dbe4868801fd20b02bd0f1b\n", - " experiment_tag: 66_k_dev=1.6513,value_type=close,window=75\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13132\n", - " time_since_restore: 15.999192237854004\n", - " time_this_iter_s: 15.999192237854004\n", - " time_total_s: 15.999192237854004\n", - " timestamp: 1654101361\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00066\n", - " warmup_time: 0.0056378841400146484\n", - " \n", - "Result for trainable_9e7a8_00061:\n", - " accuracy: 0.5103734439834025\n", - " date: 2022-06-01_19-36-00\n", - " done: true\n", - " experiment_id: 95898e23e88b4be4b70f03befd4651aa\n", - " experiment_tag: 61_k_dev=2.5814,value_type=close,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13083\n", - " time_since_restore: 14.885961055755615\n", - " time_this_iter_s: 14.885961055755615\n", - " time_total_s: 14.885961055755615\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00061\n", - " warmup_time: 0.006001949310302734\n", - " \n", - "Result for trainable_9e7a8_00068:\n", - " accuracy: 0.5005793742757821\n", - " date: 2022-06-01_19-36-00\n", - " done: false\n", - " experiment_id: dfa6f5f40d664043a4722184db31494f\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13135\n", - " time_since_restore: 15.302860021591187\n", - " time_this_iter_s: 15.302860021591187\n", - " time_total_s: 15.302860021591187\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00068\n", - " warmup_time: 0.01061868667602539\n", - " \n", - "Result for trainable_9e7a8_00067:\n", - " accuracy: 0.5328947368421053\n", - " date: 2022-06-01_19-36-00\n", - " done: true\n", - " experiment_id: 8a45b6f7749247de833b2f00309002f8\n", - " experiment_tag: 67_k_dev=2.7134,value_type=low,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13133\n", - " time_since_restore: 15.050776243209839\n", - " time_this_iter_s: 15.050776243209839\n", - " time_total_s: 15.050776243209839\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00067\n", - " warmup_time: 0.005591630935668945\n", - " \n", - "Result for trainable_9e7a8_00068:\n", - " accuracy: 0.5005793742757821\n", - " date: 2022-06-01_19-36-00\n", - " done: true\n", - " experiment_id: dfa6f5f40d664043a4722184db31494f\n", - " experiment_tag: 68_k_dev=2.3548,value_type=open,window=90\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13135\n", - " time_since_restore: 15.302860021591187\n", - " time_this_iter_s: 15.302860021591187\n", - " time_total_s: 15.302860021591187\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00068\n", - " warmup_time: 0.01061868667602539\n", - " \n", - "Result for trainable_9e7a8_00063:\n", - " accuracy: 0.4846322722283205\n", - " date: 2022-06-01_19-36-00\n", - " done: true\n", - " experiment_id: abede3d95a27446cb5573a65e71b4463\n", - " experiment_tag: 63_k_dev=1.883,value_type=low,window=80\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13106\n", - " time_since_restore: 14.994568586349487\n", - " time_this_iter_s: 14.994568586349487\n", - " time_total_s: 14.994568586349487\n", - " timestamp: 1654101360\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00063\n", - " warmup_time: 0.01875782012939453\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:36:02,847\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00073\n", - "2022-06-01 19:36:02,865\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00074\n", - "2022-06-01 19:36:02,893\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00075\n", - "2022-06-01 19:36:02,919\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00076\n", - "2022-06-01 19:36:02,962\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00077\n", - "2022-06-01 19:36:02,995\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00078\n", - "2022-06-01 19:36:03,020\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00079\n", - "2022-06-01 19:36:03,067\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00080\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:09 (running for 00:02:18.10)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 97/100 (16 PENDING, 12 RUNNING, 69 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00069RUNNING 192.168.1.14:134143.82523low 70 1 13.3848 0.555556
trainable_9e7a8_00070RUNNING 192.168.1.14:135121.268 low 60
trainable_9e7a8_00071RUNNING 192.168.1.14:135293.12592high 80
trainable_9e7a8_00072RUNNING 192.168.1.14:135313.23254low 30
trainable_9e7a8_00073RUNNING 192.168.1.14:137691.90762close 90
trainable_9e7a8_00074RUNNING 192.168.1.14:137852.52124low 45
trainable_9e7a8_00075RUNNING 192.168.1.14:138132.42818close 20
trainable_9e7a8_00081PENDING 1.95156close 70
trainable_9e7a8_00082PENDING 2.08625low 70
trainable_9e7a8_00083PENDING 3.11219close 85
trainable_9e7a8_00084PENDING 2.89401low 80
trainable_9e7a8_00085PENDING 3.16614high 20
trainable_9e7a8_00086PENDING 3.62232high 65
trainable_9e7a8_00087PENDING 1.35735open 95
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 77 more trials not shown (5 RUNNING, 9 PENDING, 62 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00069:\n", - " accuracy: 0.5555555555555556\n", - " date: 2022-06-01_19-36-07\n", - " done: true\n", - " experiment_id: ec462f1060664a658e9072352c3bb890\n", - " experiment_tag: 69_k_dev=3.8252,value_type=low,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13414\n", - " time_since_restore: 13.384775400161743\n", - " time_this_iter_s: 13.384775400161743\n", - " time_total_s: 13.384775400161743\n", - " timestamp: 1654101367\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00069\n", - " warmup_time: 0.0048503875732421875\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:36:12,017\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00081\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00071:\n", - " accuracy: 0.520618556701031\n", - " date: 2022-06-01_19-36-15\n", - " done: false\n", - " experiment_id: b3bcf611a54e4ef59d5bb65e43331b74\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13529\n", - " time_since_restore: 14.35395884513855\n", - " time_this_iter_s: 14.35395884513855\n", - " time_total_s: 14.35395884513855\n", - " timestamp: 1654101375\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00071\n", - " warmup_time: 0.002830028533935547\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:16 (running for 00:02:25.55)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 98/100 (16 PENDING, 12 RUNNING, 70 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00070RUNNING 192.168.1.14:135121.268 low 60
trainable_9e7a8_00071RUNNING 192.168.1.14:135293.12592high 80 1 14.354 0.520619
trainable_9e7a8_00072RUNNING 192.168.1.14:135313.23254low 30
trainable_9e7a8_00073RUNNING 192.168.1.14:137691.90762close 90
trainable_9e7a8_00074RUNNING 192.168.1.14:137852.52124low 45
trainable_9e7a8_00075RUNNING 192.168.1.14:138132.42818close 20
trainable_9e7a8_00076RUNNING 192.168.1.14:138163.99823high 80
trainable_9e7a8_00082PENDING 2.08625low 70
trainable_9e7a8_00083PENDING 3.11219close 85
trainable_9e7a8_00084PENDING 2.89401low 80
trainable_9e7a8_00085PENDING 3.16614high 20
trainable_9e7a8_00086PENDING 3.62232high 65
trainable_9e7a8_00087PENDING 1.35735open 95
trainable_9e7a8_00088PENDING 3.48118low 50
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 78 more trials not shown (5 RUNNING, 9 PENDING, 63 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00070:\n", - " accuracy: 0.46431924882629105\n", - " date: 2022-06-01_19-36-15\n", - " done: false\n", - " experiment_id: 5e7642f093714589a4cc719b1e3c5544\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13512\n", - " time_since_restore: 15.209872961044312\n", - " time_this_iter_s: 15.209872961044312\n", - " time_total_s: 15.209872961044312\n", - " timestamp: 1654101375\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00070\n", - " warmup_time: 0.0031023025512695312\n", - " \n", - "Result for trainable_9e7a8_00071:\n", - " accuracy: 0.520618556701031\n", - " date: 2022-06-01_19-36-15\n", - " done: true\n", - " experiment_id: b3bcf611a54e4ef59d5bb65e43331b74\n", - " experiment_tag: 71_k_dev=3.1259,value_type=high,window=80\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13529\n", - " time_since_restore: 14.35395884513855\n", - " time_this_iter_s: 14.35395884513855\n", - " time_total_s: 14.35395884513855\n", - " timestamp: 1654101375\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00071\n", - " warmup_time: 0.002830028533935547\n", - " \n", - "Result for trainable_9e7a8_00072:\n", - " accuracy: 0.5180180180180181\n", - " date: 2022-06-01_19-36-15\n", - " done: false\n", - " experiment_id: 095fa920f2e74c348b8c19464db0ab0a\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13531\n", - " time_since_restore: 14.482828140258789\n", - " time_this_iter_s: 14.482828140258789\n", - " time_total_s: 14.482828140258789\n", - " timestamp: 1654101375\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00072\n", - " warmup_time: 0.0062177181243896484\n", - " \n", - "Result for trainable_9e7a8_00070:\n", - " accuracy: 0.46431924882629105\n", - " date: 2022-06-01_19-36-15\n", - " done: true\n", - " experiment_id: 5e7642f093714589a4cc719b1e3c5544\n", - " experiment_tag: 70_k_dev=1.268,value_type=low,window=60\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13512\n", - " time_since_restore: 15.209872961044312\n", - " time_this_iter_s: 15.209872961044312\n", - " time_total_s: 15.209872961044312\n", - " timestamp: 1654101375\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00070\n", - " warmup_time: 0.0031023025512695312\n", - " \n", - "Result for trainable_9e7a8_00072:\n", - " accuracy: 0.5180180180180181\n", - " date: 2022-06-01_19-36-15\n", - " done: true\n", - " experiment_id: 095fa920f2e74c348b8c19464db0ab0a\n", - " experiment_tag: 72_k_dev=3.2325,value_type=low,window=30\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13531\n", - " time_since_restore: 14.482828140258789\n", - " time_this_iter_s: 14.482828140258789\n", - " time_total_s: 14.482828140258789\n", - " timestamp: 1654101375\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00072\n", - " warmup_time: 0.0062177181243896484\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:36:17,926\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00082\n", - "2022-06-01 19:36:17,993\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00083\n", - "2022-06-01 19:36:18,036\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00084\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00076:\n", - " accuracy: 0.42424242424242425\n", - " date: 2022-06-01_19-36-22\n", - " done: false\n", - " experiment_id: a7dc5c6c509347f3971e358c338ed54c\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13816\n", - " time_since_restore: 14.288736820220947\n", - " time_this_iter_s: 14.288736820220947\n", - " time_total_s: 14.288736820220947\n", - " timestamp: 1654101382\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00076\n", - " warmup_time: 0.007698535919189453\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:23 (running for 00:02:32.36)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (15 PENDING, 12 RUNNING, 73 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00073RUNNING 192.168.1.14:137691.90762close 90
trainable_9e7a8_00074RUNNING 192.168.1.14:137852.52124low 45
trainable_9e7a8_00075RUNNING 192.168.1.14:138132.42818close 20
trainable_9e7a8_00076RUNNING 192.168.1.14:138163.99823high 80 1 14.2887 0.424242
trainable_9e7a8_00077RUNNING 192.168.1.14:138271.21075high 65
trainable_9e7a8_00078RUNNING 192.168.1.14:138301.62677open 5
trainable_9e7a8_00079RUNNING 192.168.1.14:138313.45973open 90
trainable_9e7a8_00085PENDING 3.16614high 20
trainable_9e7a8_00086PENDING 3.62232high 65
trainable_9e7a8_00087PENDING 1.35735open 95
trainable_9e7a8_00088PENDING 3.48118low 50
trainable_9e7a8_00089PENDING 3.29228open 60
trainable_9e7a8_00090PENDING 1.59333close 85
trainable_9e7a8_00091PENDING 1.57782low 85
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 80 more trials not shown (5 RUNNING, 8 PENDING, 66 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00079:\n", - " accuracy: 0.5323741007194245\n", - " date: 2022-06-01_19-36-23\n", - " done: false\n", - " experiment_id: 78f3a3c3ffc64735bd3cd00a529c00c5\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13831\n", - " time_since_restore: 14.90287446975708\n", - " time_this_iter_s: 14.90287446975708\n", - " time_total_s: 14.90287446975708\n", - " timestamp: 1654101383\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00079\n", - " warmup_time: 0.010467290878295898\n", - " \n", - "Result for trainable_9e7a8_00076:\n", - " accuracy: 0.42424242424242425\n", - " date: 2022-06-01_19-36-22\n", - " done: true\n", - " experiment_id: a7dc5c6c509347f3971e358c338ed54c\n", - " experiment_tag: 76_k_dev=3.9982,value_type=high,window=80\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13816\n", - " time_since_restore: 14.288736820220947\n", - " time_this_iter_s: 14.288736820220947\n", - " time_total_s: 14.288736820220947\n", - " timestamp: 1654101382\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00076\n", - " warmup_time: 0.007698535919189453\n", - " \n", - "Result for trainable_9e7a8_00074:\n", - " accuracy: 0.5129032258064516\n", - " date: 2022-06-01_19-36-23\n", - " done: false\n", - " experiment_id: cea27b54ff4c46e48d21915a76587e3e\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13785\n", - " time_since_restore: 15.873217344284058\n", - " time_this_iter_s: 15.873217344284058\n", - " time_total_s: 15.873217344284058\n", - " timestamp: 1654101383\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00074\n", - " warmup_time: 0.008273124694824219\n", - " \n", - "Result for trainable_9e7a8_00075:\n", - " accuracy: 0.5095057034220533\n", - " date: 2022-06-01_19-36-23\n", - " done: false\n", - " experiment_id: accde7b0038b4330840e4e966870fc37\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13813\n", - " time_since_restore: 15.532708168029785\n", - " time_this_iter_s: 15.532708168029785\n", - " time_total_s: 15.532708168029785\n", - " timestamp: 1654101383\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00075\n", - " warmup_time: 0.010461091995239258\n", - " \n", - "Result for trainable_9e7a8_00079:\n", - " accuracy: 0.5323741007194245\n", - " date: 2022-06-01_19-36-23\n", - " done: true\n", - " experiment_id: 78f3a3c3ffc64735bd3cd00a529c00c5\n", - " experiment_tag: 79_k_dev=3.4597,value_type=open,window=90\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13831\n", - " time_since_restore: 14.90287446975708\n", - " time_this_iter_s: 14.90287446975708\n", - " time_total_s: 14.90287446975708\n", - " timestamp: 1654101383\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00079\n", - " warmup_time: 0.010467290878295898\n", - " \n", - "Result for trainable_9e7a8_00074:\n", - " accuracy: 0.5129032258064516\n", - " date: 2022-06-01_19-36-23\n", - " done: true\n", - " experiment_id: cea27b54ff4c46e48d21915a76587e3e\n", - " experiment_tag: 74_k_dev=2.5212,value_type=low,window=45\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13785\n", - " time_since_restore: 15.873217344284058\n", - " time_this_iter_s: 15.873217344284058\n", - " time_total_s: 15.873217344284058\n", - " timestamp: 1654101383\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00074\n", - " warmup_time: 0.008273124694824219\n", - " \n", - "Result for trainable_9e7a8_00075:\n", - " accuracy: 0.5095057034220533\n", - " date: 2022-06-01_19-36-23\n", - " done: true\n", - " experiment_id: accde7b0038b4330840e4e966870fc37\n", - " experiment_tag: 75_k_dev=2.4282,value_type=close,window=20\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13813\n", - " time_since_restore: 15.532708168029785\n", - " time_this_iter_s: 15.532708168029785\n", - " time_total_s: 15.532708168029785\n", - " timestamp: 1654101383\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00075\n", - " warmup_time: 0.010461091995239258\n", - " \n", - "Result for trainable_9e7a8_00073:\n", - " accuracy: 0.4947498455836936\n", - " date: 2022-06-01_19-36-24\n", - " done: false\n", - " experiment_id: 4aacc4983775428a8cf58028fae0745e\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13769\n", - " time_since_restore: 16.100390911102295\n", - " time_this_iter_s: 16.100390911102295\n", - " time_total_s: 16.100390911102295\n", - " timestamp: 1654101384\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00073\n", - " warmup_time: 0.0061151981353759766\n", - " \n", - "Result for trainable_9e7a8_00073:\n", - " accuracy: 0.4947498455836936\n", - " date: 2022-06-01_19-36-24\n", - " done: true\n", - " experiment_id: 4aacc4983775428a8cf58028fae0745e\n", - " experiment_tag: 73_k_dev=1.9076,value_type=close,window=90\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13769\n", - " time_since_restore: 16.100390911102295\n", - " time_this_iter_s: 16.100390911102295\n", - " time_total_s: 16.100390911102295\n", - " timestamp: 1654101384\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00073\n", - " warmup_time: 0.0061151981353759766\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:36:24,936\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00085\n", - "2022-06-01 19:36:25,000\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00086\n", - "2022-06-01 19:36:25,036\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00087\n", - "2022-06-01 19:36:25,050\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00088\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00078:\n", - " accuracy: 0.4585403133358808\n", - " date: 2022-06-01_19-36-25\n", - " done: false\n", - " experiment_id: 05cf4e42835d4cac825caaf30c744611\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13830\n", - " time_since_restore: 17.114872217178345\n", - " time_this_iter_s: 17.114872217178345\n", - " time_total_s: 17.114872217178345\n", - " timestamp: 1654101385\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00078\n", - " warmup_time: 0.005684852600097656\n", - " \n", - "Result for trainable_9e7a8_00078:\n", - " accuracy: 0.4585403133358808\n", - " date: 2022-06-01_19-36-25\n", - " done: true\n", - " experiment_id: 05cf4e42835d4cac825caaf30c744611\n", - " experiment_tag: 78_k_dev=1.6268,value_type=open,window=5\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13830\n", - " time_since_restore: 17.114872217178345\n", - " time_this_iter_s: 17.114872217178345\n", - " time_total_s: 17.114872217178345\n", - " timestamp: 1654101385\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00078\n", - " warmup_time: 0.005684852600097656\n", - " \n", - "Result for trainable_9e7a8_00077:\n", - " accuracy: 0.4559561843906892\n", - " date: 2022-06-01_19-36-25\n", - " done: false\n", - " experiment_id: e4e4fa5c0a5147e584ffa27364f39209\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13827\n", - " time_since_restore: 16.75250744819641\n", - " time_this_iter_s: 16.75250744819641\n", - " time_total_s: 16.75250744819641\n", - " timestamp: 1654101385\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00077\n", - " warmup_time: 0.007216453552246094\n", - " \n", - "Result for trainable_9e7a8_00077:\n", - " accuracy: 0.4559561843906892\n", - " date: 2022-06-01_19-36-25\n", - " done: true\n", - " experiment_id: e4e4fa5c0a5147e584ffa27364f39209\n", - " experiment_tag: 77_k_dev=1.2107,value_type=high,window=65\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13827\n", - " time_since_restore: 16.75250744819641\n", - " time_this_iter_s: 16.75250744819641\n", - " time_total_s: 16.75250744819641\n", - " timestamp: 1654101385\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00077\n", - " warmup_time: 0.007216453552246094\n", - " \n", - "Result for trainable_9e7a8_00080:\n", - " accuracy: 0.46834892321078964\n", - " date: 2022-06-01_19-36-25\n", - " done: false\n", - " experiment_id: 5439f63b673040bf80805d6a58a7c24b\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13834\n", - " time_since_restore: 16.246959686279297\n", - " time_this_iter_s: 16.246959686279297\n", - " time_total_s: 16.246959686279297\n", - " timestamp: 1654101385\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00080\n", - " warmup_time: 0.26204538345336914\n", - " \n", - "Result for trainable_9e7a8_00080:\n", - " accuracy: 0.46834892321078964\n", - " date: 2022-06-01_19-36-25\n", - " done: true\n", - " experiment_id: 5439f63b673040bf80805d6a58a7c24b\n", - " experiment_tag: 80_k_dev=1.2051,value_type=low,window=45\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 13834\n", - " time_since_restore: 16.246959686279297\n", - " time_this_iter_s: 16.246959686279297\n", - " time_total_s: 16.246959686279297\n", - " timestamp: 1654101385\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00080\n", - " warmup_time: 0.26204538345336914\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:36:25,986\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00089\n", - "2022-06-01 19:36:26,013\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00090\n", - "2022-06-01 19:36:26,046\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00091\n", - "2022-06-01 19:36:26,063\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00092\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:31 (running for 00:02:40.43)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (7 PENDING, 12 RUNNING, 81 TERMINATED)
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00081RUNNING 192.168.1.14:141131.95156close 70
trainable_9e7a8_00082RUNNING 192.168.1.14:142112.08625low 70
trainable_9e7a8_00083RUNNING 192.168.1.14:142293.11219close 85
trainable_9e7a8_00084RUNNING 192.168.1.14:142342.89401low 80
trainable_9e7a8_00085RUNNING 192.168.1.14:144123.16614high 20
trainable_9e7a8_00086RUNNING 192.168.1.14:144343.62232high 65
trainable_9e7a8_00087RUNNING 192.168.1.14:144471.35735open 95
trainable_9e7a8_00093PENDING 2.20476close 90
trainable_9e7a8_00094PENDING 3.12346open 90
trainable_9e7a8_00095PENDING 3.92859low 100
trainable_9e7a8_00096PENDING 2.09419close 40
trainable_9e7a8_00097PENDING 1.54937high 50
trainable_9e7a8_00098PENDING 2.0235 high 70
trainable_9e7a8_00099PENDING 2.5238 close 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 80 more trials not shown (5 RUNNING, 74 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00081:\n", - " accuracy: 0.4825543120473996\n", - " date: 2022-06-01_19-36-32\n", - " done: false\n", - " experiment_id: e80efddfed334791917a0bbeaeb800d9\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14113\n", - " time_since_restore: 15.734897375106812\n", - " time_this_iter_s: 15.734897375106812\n", - " time_total_s: 15.734897375106812\n", - " timestamp: 1654101392\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00081\n", - " warmup_time: 0.00399470329284668\n", - " \n", - "Result for trainable_9e7a8_00081:\n", - " accuracy: 0.4825543120473996\n", - " date: 2022-06-01_19-36-32\n", - " done: true\n", - " experiment_id: e80efddfed334791917a0bbeaeb800d9\n", - " experiment_tag: 81_k_dev=1.9516,value_type=close,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14113\n", - " time_since_restore: 15.734897375106812\n", - " time_this_iter_s: 15.734897375106812\n", - " time_total_s: 15.734897375106812\n", - " timestamp: 1654101392\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00081\n", - " warmup_time: 0.00399470329284668\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:36:33,959\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00093\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00083:\n", - " accuracy: 0.5508021390374331\n", - " date: 2022-06-01_19-36-37\n", - " done: false\n", - " experiment_id: 68e194714d394037802509fc73bf3341\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14229\n", - " time_since_restore: 14.196528196334839\n", - " time_this_iter_s: 14.196528196334839\n", - " time_total_s: 14.196528196334839\n", - " timestamp: 1654101397\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00083\n", - " warmup_time: 0.00455474853515625\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:39 (running for 00:02:48.31)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (6 PENDING, 12 RUNNING, 82 TERMINATED)
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00082RUNNING 192.168.1.14:142112.08625low 70
trainable_9e7a8_00083RUNNING 192.168.1.14:142293.11219close 85 1 14.1965 0.550802
trainable_9e7a8_00084RUNNING 192.168.1.14:142342.89401low 80
trainable_9e7a8_00085RUNNING 192.168.1.14:144123.16614high 20
trainable_9e7a8_00086RUNNING 192.168.1.14:144343.62232high 65
trainable_9e7a8_00087RUNNING 192.168.1.14:144471.35735open 95
trainable_9e7a8_00088RUNNING 192.168.1.14:144503.48118low 50
trainable_9e7a8_00094PENDING 3.12346open 90
trainable_9e7a8_00095PENDING 3.92859low 100
trainable_9e7a8_00096PENDING 2.09419close 40
trainable_9e7a8_00097PENDING 1.54937high 50
trainable_9e7a8_00098PENDING 2.0235 high 70
trainable_9e7a8_00099PENDING 2.5238 close 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 80 more trials not shown (5 RUNNING, 75 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00084:\n", - " accuracy: 0.5492537313432836\n", - " date: 2022-06-01_19-36-38\n", - " done: false\n", - " experiment_id: a1285ddec35b4d6fb17e3cf15b0e8c70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14234\n", - " time_since_restore: 15.186134576797485\n", - " time_this_iter_s: 15.186134576797485\n", - " time_total_s: 15.186134576797485\n", - " timestamp: 1654101398\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00084\n", - " warmup_time: 0.004622220993041992\n", - " \n", - "Result for trainable_9e7a8_00083:\n", - " accuracy: 0.5508021390374331\n", - " date: 2022-06-01_19-36-37\n", - " done: true\n", - " experiment_id: 68e194714d394037802509fc73bf3341\n", - " experiment_tag: 83_k_dev=3.1122,value_type=close,window=85\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14229\n", - " time_since_restore: 14.196528196334839\n", - " time_this_iter_s: 14.196528196334839\n", - " time_total_s: 14.196528196334839\n", - " timestamp: 1654101397\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00083\n", - " warmup_time: 0.00455474853515625\n", - " \n", - "Result for trainable_9e7a8_00084:\n", - " accuracy: 0.5492537313432836\n", - " date: 2022-06-01_19-36-38\n", - " done: true\n", - " experiment_id: a1285ddec35b4d6fb17e3cf15b0e8c70\n", - " experiment_tag: 84_k_dev=2.894,value_type=low,window=80\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14234\n", - " time_since_restore: 15.186134576797485\n", - " time_this_iter_s: 15.186134576797485\n", - " time_total_s: 15.186134576797485\n", - " timestamp: 1654101398\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00084\n", - " warmup_time: 0.004622220993041992\n", - " \n", - "Result for trainable_9e7a8_00082:\n", - " accuracy: 0.488822652757079\n", - " date: 2022-06-01_19-36-38\n", - " done: false\n", - " experiment_id: f3e2537da0a3458eafb56c4c958f161a\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14211\n", - " time_since_restore: 15.285579681396484\n", - " time_this_iter_s: 15.285579681396484\n", - " time_total_s: 15.285579681396484\n", - " timestamp: 1654101398\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00082\n", - " warmup_time: 0.008325338363647461\n", - " \n", - "Result for trainable_9e7a8_00082:\n", - " accuracy: 0.488822652757079\n", - " date: 2022-06-01_19-36-38\n", - " done: true\n", - " experiment_id: f3e2537da0a3458eafb56c4c958f161a\n", - " experiment_tag: 82_k_dev=2.0863,value_type=low,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14211\n", - " time_since_restore: 15.285579681396484\n", - " time_this_iter_s: 15.285579681396484\n", - " time_total_s: 15.285579681396484\n", - " timestamp: 1654101398\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00082\n", - " warmup_time: 0.008325338363647461\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:36:40,962\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00094\n", - "2022-06-01 19:36:40,999\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00095\n", - "2022-06-01 19:36:41,059\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00096\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00086:\n", - " accuracy: 0.527027027027027\n", - " date: 2022-06-01_19-36-43\n", - " done: false\n", - " experiment_id: 4d1bc112963146f6aaa3e1c553df81c6\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14434\n", - " time_since_restore: 14.395161628723145\n", - " time_this_iter_s: 14.395161628723145\n", - " time_total_s: 14.395161628723145\n", - " timestamp: 1654101403\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00086\n", - " warmup_time: 0.012499094009399414\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:45 (running for 00:02:54.93)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (3 PENDING, 12 RUNNING, 85 TERMINATED)
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00085RUNNING 192.168.1.14:144123.16614high 20
trainable_9e7a8_00086RUNNING 192.168.1.14:144343.62232high 65 1 14.3952 0.527027
trainable_9e7a8_00087RUNNING 192.168.1.14:144471.35735open 95
trainable_9e7a8_00088RUNNING 192.168.1.14:144503.48118low 50
trainable_9e7a8_00089RUNNING 192.168.1.14:144563.29228open 60
trainable_9e7a8_00090RUNNING 192.168.1.14:144661.59333close 85
trainable_9e7a8_00091RUNNING 192.168.1.14:144901.57782low 85
trainable_9e7a8_00092RUNNING 192.168.1.14:144972.69285close 95
trainable_9e7a8_00093RUNNING 192.168.1.14:147472.20476close 90
trainable_9e7a8_00097PENDING 1.54937high 50
trainable_9e7a8_00098PENDING 2.0235 high 70
trainable_9e7a8_00099PENDING 2.5238 close 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022
trainable_9e7a8_00007TERMINATED192.168.1.14:100312.04865close 30 1 14.5712 0.490678
trainable_9e7a8_00008TERMINATED192.168.1.14:100332.38263high 55 1 14.9762 0.460823

... 80 more trials not shown (3 RUNNING, 76 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00085:\n", - " accuracy: 0.49828178694158076\n", - " date: 2022-06-01_19-36-44\n", - " done: false\n", - " experiment_id: 915dbecc6e4743ed8d6b6ceea4045389\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14412\n", - " time_since_restore: 14.416006565093994\n", - " time_this_iter_s: 14.416006565093994\n", - " time_total_s: 14.416006565093994\n", - " timestamp: 1654101404\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00085\n", - " warmup_time: 0.004936695098876953\n", - " \n", - "Result for trainable_9e7a8_00088:\n", - " accuracy: 0.5288461538461539\n", - " date: 2022-06-01_19-36-44\n", - " done: false\n", - " experiment_id: 5ccbea3fe82a42128fe3ca5a8c190016\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14450\n", - " time_since_restore: 14.747365713119507\n", - " time_this_iter_s: 14.747365713119507\n", - " time_total_s: 14.747365713119507\n", - " timestamp: 1654101404\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00088\n", - " warmup_time: 0.006840944290161133\n", - " \n", - "Result for trainable_9e7a8_00087:\n", - " accuracy: 0.4624463519313305\n", - " date: 2022-06-01_19-36-45\n", - " done: false\n", - " experiment_id: 64eb60eb42bd4252b19e8b6232e15c35\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14447\n", - " time_since_restore: 16.504238843917847\n", - " time_this_iter_s: 16.504238843917847\n", - " time_total_s: 16.504238843917847\n", - " timestamp: 1654101405\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00087\n", - " warmup_time: 0.004414796829223633\n", - " \n", - "Result for trainable_9e7a8_00092:\n", - " accuracy: 0.5157384987893463\n", - " date: 2022-06-01_19-36-45\n", - " done: false\n", - " experiment_id: c54a3677155c463ba1f2454ab57e7e78\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14497\n", - " time_since_restore: 14.131156206130981\n", - " time_this_iter_s: 14.131156206130981\n", - " time_total_s: 14.131156206130981\n", - " timestamp: 1654101405\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00092\n", - " warmup_time: 0.00782012939453125\n", - " \n", - "Result for trainable_9e7a8_00085:\n", - " accuracy: 0.49828178694158076\n", - " date: 2022-06-01_19-36-44\n", - " done: true\n", - " experiment_id: 915dbecc6e4743ed8d6b6ceea4045389\n", - " experiment_tag: 85_k_dev=3.1661,value_type=high,window=20\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14412\n", - " time_since_restore: 14.416006565093994\n", - " time_this_iter_s: 14.416006565093994\n", - " time_total_s: 14.416006565093994\n", - " timestamp: 1654101404\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00085\n", - " warmup_time: 0.004936695098876953\n", - " \n", - "Result for trainable_9e7a8_00086:\n", - " accuracy: 0.527027027027027\n", - " date: 2022-06-01_19-36-43\n", - " done: true\n", - " experiment_id: 4d1bc112963146f6aaa3e1c553df81c6\n", - " experiment_tag: 86_k_dev=3.6223,value_type=high,window=65\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14434\n", - " time_since_restore: 14.395161628723145\n", - " time_this_iter_s: 14.395161628723145\n", - " time_total_s: 14.395161628723145\n", - " timestamp: 1654101403\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00086\n", - " warmup_time: 0.012499094009399414\n", - " \n", - "Result for trainable_9e7a8_00089:\n", - " accuracy: 0.5414012738853503\n", - " date: 2022-06-01_19-36-46\n", - " done: false\n", - " experiment_id: d4576f90f68c4b06b281b20e907bba08\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14456\n", - " time_since_restore: 14.836263418197632\n", - " time_this_iter_s: 14.836263418197632\n", - " time_total_s: 14.836263418197632\n", - " timestamp: 1654101406\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00089\n", - " warmup_time: 0.005787372589111328\n", - " \n", - "Result for trainable_9e7a8_00088:\n", - " accuracy: 0.5288461538461539\n", - " date: 2022-06-01_19-36-44\n", - " done: true\n", - " experiment_id: 5ccbea3fe82a42128fe3ca5a8c190016\n", - " experiment_tag: 88_k_dev=3.4812,value_type=low,window=50\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14450\n", - " time_since_restore: 14.747365713119507\n", - " time_this_iter_s: 14.747365713119507\n", - " time_total_s: 14.747365713119507\n", - " timestamp: 1654101404\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00088\n", - " warmup_time: 0.006840944290161133\n", - " \n", - "Result for trainable_9e7a8_00092:\n", - " accuracy: 0.5157384987893463\n", - " date: 2022-06-01_19-36-45\n", - " done: true\n", - " experiment_id: c54a3677155c463ba1f2454ab57e7e78\n", - " experiment_tag: 92_k_dev=2.6929,value_type=close,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14497\n", - " time_since_restore: 14.131156206130981\n", - " time_this_iter_s: 14.131156206130981\n", - " time_total_s: 14.131156206130981\n", - " timestamp: 1654101405\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00092\n", - " warmup_time: 0.00782012939453125\n", - " \n", - "Result for trainable_9e7a8_00089:\n", - " accuracy: 0.5414012738853503\n", - " date: 2022-06-01_19-36-46\n", - " done: true\n", - " experiment_id: d4576f90f68c4b06b281b20e907bba08\n", - " experiment_tag: 89_k_dev=3.2923,value_type=open,window=60\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14456\n", - " time_since_restore: 14.836263418197632\n", - " time_this_iter_s: 14.836263418197632\n", - " time_total_s: 14.836263418197632\n", - " timestamp: 1654101406\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00089\n", - " warmup_time: 0.005787372589111328\n", - " \n", - "Result for trainable_9e7a8_00087:\n", - " accuracy: 0.4624463519313305\n", - " date: 2022-06-01_19-36-45\n", - " done: true\n", - " experiment_id: 64eb60eb42bd4252b19e8b6232e15c35\n", - " experiment_tag: 87_k_dev=1.3573,value_type=open,window=95\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14447\n", - " time_since_restore: 16.504238843917847\n", - " time_this_iter_s: 16.504238843917847\n", - " time_total_s: 16.504238843917847\n", - " timestamp: 1654101405\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00087\n", - " warmup_time: 0.004414796829223633\n", - " \n", - "Result for trainable_9e7a8_00091:\n", - " accuracy: 0.47282796815507094\n", - " date: 2022-06-01_19-36-46\n", - " done: false\n", - " experiment_id: aa2302db24f14f77971fdc4e76f12d09\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14490\n", - " time_since_restore: 15.525084257125854\n", - " time_this_iter_s: 15.525084257125854\n", - " time_total_s: 15.525084257125854\n", - " timestamp: 1654101406\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00091\n", - " warmup_time: 0.005910396575927734\n", - " \n", - "Result for trainable_9e7a8_00091:\n", - " accuracy: 0.47282796815507094\n", - " date: 2022-06-01_19-36-46\n", - " done: true\n", - " experiment_id: aa2302db24f14f77971fdc4e76f12d09\n", - " experiment_tag: 91_k_dev=1.5778,value_type=low,window=85\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14490\n", - " time_since_restore: 15.525084257125854\n", - " time_this_iter_s: 15.525084257125854\n", - " time_total_s: 15.525084257125854\n", - " timestamp: 1654101406\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00091\n", - " warmup_time: 0.005910396575927734\n", - " \n", - "Result for trainable_9e7a8_00090:\n", - " accuracy: 0.47183098591549294\n", - " date: 2022-06-01_19-36-46\n", - " done: false\n", - " experiment_id: df305c8632e04c71914de8098c07048b\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14466\n", - " time_since_restore: 15.784619331359863\n", - " time_this_iter_s: 15.784619331359863\n", - " time_total_s: 15.784619331359863\n", - " timestamp: 1654101406\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00090\n", - " warmup_time: 0.004984378814697266\n", - " \n", - "Result for trainable_9e7a8_00090:\n", - " accuracy: 0.47183098591549294\n", - " date: 2022-06-01_19-36-46\n", - " done: true\n", - " experiment_id: df305c8632e04c71914de8098c07048b\n", - " experiment_tag: 90_k_dev=1.5933,value_type=close,window=85\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14466\n", - " time_since_restore: 15.784619331359863\n", - " time_this_iter_s: 15.784619331359863\n", - " time_total_s: 15.784619331359863\n", - " timestamp: 1654101406\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00090\n", - " warmup_time: 0.004984378814697266\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:36:47,794\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00097\n", - "2022-06-01 19:36:47,803\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00098\n", - "2022-06-01 19:36:47,835\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00099\n", - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:51 (running for 00:03:00.87)
Memory usage on this node: 12.3/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 7.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (7 RUNNING, 93 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00093RUNNING 192.168.1.14:147472.20476close 90 1 11.525 0.488419
trainable_9e7a8_00094RUNNING 192.168.1.14:148583.12346open 90
trainable_9e7a8_00095RUNNING 192.168.1.14:148613.92859low 100
trainable_9e7a8_00096RUNNING 192.168.1.14:148722.09419close 40
trainable_9e7a8_00097RUNNING 192.168.1.14:150391.54937high 50
trainable_9e7a8_00098RUNNING 192.168.1.14:150422.0235 high 70
trainable_9e7a8_00099RUNNING 192.168.1.14:150532.5238 close 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022
trainable_9e7a8_00007TERMINATED192.168.1.14:100312.04865close 30 1 14.5712 0.490678
trainable_9e7a8_00008TERMINATED192.168.1.14:100332.38263high 55 1 14.9762 0.460823
trainable_9e7a8_00009TERMINATED192.168.1.14:100352.9824 low 95 1 13.9972 0.546099
trainable_9e7a8_00010TERMINATED192.168.1.14:100361.96683high 95 1 14.459 0.488717
trainable_9e7a8_00011TERMINATED192.168.1.14:100381.36129low 5 1 15.2408 0.467798
trainable_9e7a8_00012TERMINATED192.168.1.14:104483.81256open 15 1 14.0255 0.512111

... 80 more trials not shown (80 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00093:\n", - " accuracy: 0.48841893252769386\n", - " date: 2022-06-01_19-36-50\n", - " done: true\n", - " experiment_id: a055b602ae964ee4b83749c84beb8ceb\n", - " experiment_tag: 93_k_dev=2.2048,value_type=close,window=90\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14747\n", - " time_since_restore: 11.524987936019897\n", - " time_this_iter_s: 11.524987936019897\n", - " time_total_s: 11.524987936019897\n", - " timestamp: 1654101410\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00093\n", - " warmup_time: 0.004125833511352539\n", - " \n", - "Result for trainable_9e7a8_00095:\n", - " accuracy: 0.5932203389830508\n", - " date: 2022-06-01_19-36-52\n", - " done: false\n", - " experiment_id: 07e454d618834c0f8b1dc16cd1beeb67\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14861\n", - " time_since_restore: 7.350056171417236\n", - " time_this_iter_s: 7.350056171417236\n", - " time_total_s: 7.350056171417236\n", - " timestamp: 1654101412\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00095\n", - " warmup_time: 0.0039005279541015625\n", - " \n", - "Result for trainable_9e7a8_00095:\n", - " accuracy: 0.5932203389830508\n", - " date: 2022-06-01_19-36-52\n", - " done: true\n", - " experiment_id: 07e454d618834c0f8b1dc16cd1beeb67\n", - " experiment_tag: 95_k_dev=3.9286,value_type=low,window=100\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14861\n", - " time_since_restore: 7.350056171417236\n", - " time_this_iter_s: 7.350056171417236\n", - " time_total_s: 7.350056171417236\n", - " timestamp: 1654101412\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00095\n", - " warmup_time: 0.0039005279541015625\n", - " \n", - "Result for trainable_9e7a8_00096:\n", - " accuracy: 0.47588717015468607\n", - " date: 2022-06-01_19-36-53\n", - " done: false\n", - " experiment_id: 30b9aeb5e1624f14868c2defcf4a8323\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14872\n", - " time_since_restore: 8.110304594039917\n", - " time_this_iter_s: 8.110304594039917\n", - " time_total_s: 8.110304594039917\n", - " timestamp: 1654101413\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00096\n", - " warmup_time: 0.0030546188354492188\n", - " \n", - "Result for trainable_9e7a8_00096:\n", - " accuracy: 0.47588717015468607\n", - " date: 2022-06-01_19-36-53\n", - " done: true\n", - " experiment_id: 30b9aeb5e1624f14868c2defcf4a8323\n", - " experiment_tag: 96_k_dev=2.0942,value_type=close,window=40\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14872\n", - " time_since_restore: 8.110304594039917\n", - " time_this_iter_s: 8.110304594039917\n", - " time_total_s: 8.110304594039917\n", - " timestamp: 1654101413\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00096\n", - " warmup_time: 0.0030546188354492188\n", - " \n", - "Result for trainable_9e7a8_00094:\n", - " accuracy: 0.5436507936507936\n", - " date: 2022-06-01_19-36-54\n", - " done: false\n", - " experiment_id: 43c37c7a382843079bbe39f4f6125980\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14858\n", - " time_since_restore: 8.465050458908081\n", - " time_this_iter_s: 8.465050458908081\n", - " time_total_s: 8.465050458908081\n", - " timestamp: 1654101414\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00094\n", - " warmup_time: 0.0037136077880859375\n", - " \n", - "Result for trainable_9e7a8_00094:\n", - " accuracy: 0.5436507936507936\n", - " date: 2022-06-01_19-36-54\n", - " done: true\n", - " experiment_id: 43c37c7a382843079bbe39f4f6125980\n", - " experiment_tag: 94_k_dev=3.1235,value_type=open,window=90\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 14858\n", - " time_since_restore: 8.465050458908081\n", - " time_this_iter_s: 8.465050458908081\n", - " time_total_s: 8.465050458908081\n", - " timestamp: 1654101414\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00094\n", - " warmup_time: 0.0037136077880859375\n", - " \n", - "Result for trainable_9e7a8_00099:\n", - " accuracy: 0.5036101083032491\n", - " date: 2022-06-01_19-36-57\n", - " done: false\n", - " experiment_id: 62a7f0d4290c4867b7787f9caa632211\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 15053\n", - " time_since_restore: 6.573130369186401\n", - " time_this_iter_s: 6.573130369186401\n", - " time_total_s: 6.573130369186401\n", - " timestamp: 1654101417\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00099\n", - " warmup_time: 0.005975246429443359\n", - " \n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:57 (running for 00:03:06.68)
Memory usage on this node: 11.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 3.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00095 with accuracy=0.5932203389830508 and parameters={'window': 100, 'value_type': 'low', 'k_dev': 3.9285854094927943}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (3 RUNNING, 97 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00097RUNNING 192.168.1.14:150391.54937high 50
trainable_9e7a8_00098RUNNING 192.168.1.14:150422.0235 high 70
trainable_9e7a8_00099RUNNING 192.168.1.14:150532.5238 close 80 1 6.57313 0.50361
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022
trainable_9e7a8_00007TERMINATED192.168.1.14:100312.04865close 30 1 14.5712 0.490678
trainable_9e7a8_00008TERMINATED192.168.1.14:100332.38263high 55 1 14.9762 0.460823
trainable_9e7a8_00009TERMINATED192.168.1.14:100352.9824 low 95 1 13.9972 0.546099
trainable_9e7a8_00010TERMINATED192.168.1.14:100361.96683high 95 1 14.459 0.488717
trainable_9e7a8_00011TERMINATED192.168.1.14:100381.36129low 5 1 15.2408 0.467798
trainable_9e7a8_00012TERMINATED192.168.1.14:104483.81256open 15 1 14.0255 0.512111
trainable_9e7a8_00013TERMINATED192.168.1.14:106941.80733high 35 1 15.5294 0.469178
trainable_9e7a8_00014TERMINATED192.168.1.14:107051.52009low 65 1 16.2017 0.477317
trainable_9e7a8_00015TERMINATED192.168.1.14:107181.5003 high 30 1 17.1894 0.463359
trainable_9e7a8_00016TERMINATED192.168.1.14:107383.82771low 70 1 15.3816 0.555556

... 80 more trials not shown (80 TERMINATED)

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for trainable_9e7a8_00099:\n", - " accuracy: 0.5036101083032491\n", - " date: 2022-06-01_19-36-57\n", - " done: true\n", - " experiment_id: 62a7f0d4290c4867b7787f9caa632211\n", - " experiment_tag: 99_k_dev=2.5238,value_type=close,window=80\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 15053\n", - " time_since_restore: 6.573130369186401\n", - " time_this_iter_s: 6.573130369186401\n", - " time_total_s: 6.573130369186401\n", - " timestamp: 1654101417\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00099\n", - " warmup_time: 0.005975246429443359\n", - " \n", - "Result for trainable_9e7a8_00098:\n", - " accuracy: 0.47390396659707723\n", - " date: 2022-06-01_19-36-58\n", - " done: false\n", - " experiment_id: cd2c37116e144082a6da65f8c7d8bfd9\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 15042\n", - " time_since_restore: 6.615413188934326\n", - " time_this_iter_s: 6.615413188934326\n", - " time_total_s: 6.615413188934326\n", - " timestamp: 1654101418\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00098\n", - " warmup_time: 0.0027577877044677734\n", - " \n", - "Result for trainable_9e7a8_00098:\n", - " accuracy: 0.47390396659707723\n", - " date: 2022-06-01_19-36-58\n", - " done: true\n", - " experiment_id: cd2c37116e144082a6da65f8c7d8bfd9\n", - " experiment_tag: 98_k_dev=2.0235,value_type=high,window=70\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 15042\n", - " time_since_restore: 6.615413188934326\n", - " time_this_iter_s: 6.615413188934326\n", - " time_total_s: 6.615413188934326\n", - " timestamp: 1654101418\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00098\n", - " warmup_time: 0.0027577877044677734\n", - " \n", - "Result for trainable_9e7a8_00097:\n", - " accuracy: 0.46994160082445896\n", - " date: 2022-06-01_19-36-58\n", - " done: false\n", - " experiment_id: 5b6b0e8265e54763b6c1ef4801a17903\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 15039\n", - " time_since_restore: 7.580811500549316\n", - " time_this_iter_s: 7.580811500549316\n", - " time_total_s: 7.580811500549316\n", - " timestamp: 1654101418\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00097\n", - " warmup_time: 0.00292205810546875\n", - " \n", - "Result for trainable_9e7a8_00097:\n", - " accuracy: 0.46994160082445896\n", - " date: 2022-06-01_19-36-58\n", - " done: true\n", - " experiment_id: 5b6b0e8265e54763b6c1ef4801a17903\n", - " experiment_tag: 97_k_dev=1.5494,value_type=high,window=50\n", - " hostname: parf\n", - " iterations_since_restore: 1\n", - " node_ip: 192.168.1.14\n", - " pid: 15039\n", - " time_since_restore: 7.580811500549316\n", - " time_this_iter_s: 7.580811500549316\n", - " time_total_s: 7.580811500549316\n", - " timestamp: 1654101418\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 9e7a8_00097\n", - " warmup_time: 0.00292205810546875\n", - " \n" - ] - }, - { - "data": { - "text/html": [ - "== Status ==
Current time: 2022-06-01 19:36:58 (running for 00:03:07.45)
Memory usage on this node: 11.5/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00095 with accuracy=0.5932203389830508 and parameters={'window': 100, 'value_type': 'low', 'k_dev': 3.9285854094927943}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (100 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022
trainable_9e7a8_00007TERMINATED192.168.1.14:100312.04865close 30 1 14.5712 0.490678
trainable_9e7a8_00008TERMINATED192.168.1.14:100332.38263high 55 1 14.9762 0.460823
trainable_9e7a8_00009TERMINATED192.168.1.14:100352.9824 low 95 1 13.9972 0.546099
trainable_9e7a8_00010TERMINATED192.168.1.14:100361.96683high 95 1 14.459 0.488717
trainable_9e7a8_00011TERMINATED192.168.1.14:100381.36129low 5 1 15.2408 0.467798
trainable_9e7a8_00012TERMINATED192.168.1.14:104483.81256open 15 1 14.0255 0.512111
trainable_9e7a8_00013TERMINATED192.168.1.14:106941.80733high 35 1 15.5294 0.469178
trainable_9e7a8_00014TERMINATED192.168.1.14:107051.52009low 65 1 16.2017 0.477317
trainable_9e7a8_00015TERMINATED192.168.1.14:107181.5003 high 30 1 17.1894 0.463359
trainable_9e7a8_00016TERMINATED192.168.1.14:107383.82771low 70 1 15.3816 0.555556
trainable_9e7a8_00017TERMINATED192.168.1.14:107912.9332 high 95 1 15.4006 0.488746
trainable_9e7a8_00018TERMINATED192.168.1.14:108201.97031open 50 1 15.1525 0.485556
trainable_9e7a8_00019TERMINATED192.168.1.14:108263.3669 high 20 1 13.7738 0.513043
trainable_9e7a8_00020TERMINATED192.168.1.14:108271.2511 high 30 1 17.4874 0.454133
trainable_9e7a8_00021TERMINATED192.168.1.14:108321.18569open 85 1 17.3648 0.459429
trainable_9e7a8_00022TERMINATED192.168.1.14:108512.9816 low 40 1 16.078 0.523297
trainable_9e7a8_00023TERMINATED192.168.1.14:108531.12381close 10 1 17.483 0.45294
trainable_9e7a8_00024TERMINATED192.168.1.14:112122.37796open 30 1 13.0993 0.495187
trainable_9e7a8_00025TERMINATED192.168.1.14:112773.76634open 80 1 14.2495 0.539474
trainable_9e7a8_00026TERMINATED192.168.1.14:112781.58155low 85 1 15.2918 0.472512
trainable_9e7a8_00027TERMINATED192.168.1.14:112832.00967open 90 1 14.2923 0.496306
trainable_9e7a8_00028TERMINATED192.168.1.14:112863.50349low 60 1 13.5072 0.520408
trainable_9e7a8_00029TERMINATED192.168.1.14:113653.12407open 65 1 14.4316 0.528926
trainable_9e7a8_00030TERMINATED192.168.1.14:113672.93617high 60 1 14.8449 0.482072
trainable_9e7a8_00031TERMINATED192.168.1.14:113692.56237high 40 1 14.6788 0.45229
trainable_9e7a8_00032TERMINATED192.168.1.14:115422.71263close 20 1 14.4148 0.505119
trainable_9e7a8_00033TERMINATED192.168.1.14:115451.61494close 15 1 15.1469 0.482875
trainable_9e7a8_00034TERMINATED192.168.1.14:115482.25605open 75 1 15.9088 0.496572
trainable_9e7a8_00035TERMINATED192.168.1.14:115491.19443high 95 1 17.696 0.455859
trainable_9e7a8_00036TERMINATED192.168.1.14:117052.10051open 70 1 15.7228 0.479073
trainable_9e7a8_00037TERMINATED192.168.1.14:118032.1924 close 80 1 15.1245 0.487052
trainable_9e7a8_00038TERMINATED192.168.1.14:118203.33683low 80 1 15.9513 0.574324
trainable_9e7a8_00039TERMINATED192.168.1.14:118342.42366open 95 1 15.0165 0.511318
trainable_9e7a8_00040TERMINATED192.168.1.14:118423.82909low 20 1 14.4795 0.527132
trainable_9e7a8_00041TERMINATED192.168.1.14:118441.00435low 40 1 17.1685 0.455942
trainable_9e7a8_00042TERMINATED192.168.1.14:118582.13066close 45 1 15.049 0.487709
trainable_9e7a8_00043TERMINATED192.168.1.14:118603.78005low 70 1 14.7974 0.55
trainable_9e7a8_00044TERMINATED192.168.1.14:121231.43104close 65 1 13.7972 0.470256
trainable_9e7a8_00045TERMINATED192.168.1.14:121412.24024open 65 1 12.4284 0.48528
trainable_9e7a8_00046TERMINATED192.168.1.14:121452.34936open 5 1 13.9976 0.469972
trainable_9e7a8_00047TERMINATED192.168.1.14:122233.95935open 55 1 11.8977 0.559322
trainable_9e7a8_00048TERMINATED192.168.1.14:123042.62893high 90 1 11.2398 0.499044
trainable_9e7a8_00049TERMINATED192.168.1.14:123642.98399close 55 1 13.6483 0.485876
trainable_9e7a8_00050TERMINATED192.168.1.14:124563.40408close 10 1 12.2509 0.125
trainable_9e7a8_00051TERMINATED192.168.1.14:124581.63469open 15 1 13.8535 0.473944
trainable_9e7a8_00052TERMINATED192.168.1.14:124591.55978close 60 1 13.8552 0.47585
trainable_9e7a8_00053TERMINATED192.168.1.14:124612.58736high 35 1 13.8318 0.443564
trainable_9e7a8_00054TERMINATED192.168.1.14:124661.46559low 50 1 13.2653 0.47148
trainable_9e7a8_00055TERMINATED192.168.1.14:124682.74483high 70 1 12.6813 0.489247
trainable_9e7a8_00056TERMINATED192.168.1.14:124712.93169open 20 1 13.4231 0.516569
trainable_9e7a8_00057TERMINATED192.168.1.14:127763.34213high 10 1 14.1506 0.477745
trainable_9e7a8_00058TERMINATED192.168.1.14:128471.98504high 60 1 16.3026 0.468586
trainable_9e7a8_00059TERMINATED192.168.1.14:128492.80529open 75 1 15.4235 0.525424
trainable_9e7a8_00060TERMINATED192.168.1.14:128521.24152close 75 1 17.0097 0.460865
trainable_9e7a8_00061TERMINATED192.168.1.14:130832.58144close 70 1 14.886 0.510373
trainable_9e7a8_00062TERMINATED192.168.1.14:130891.61595close 85 1 15.6194 0.47546
trainable_9e7a8_00063TERMINATED192.168.1.14:131061.88298low 80 1 14.9946 0.484632
trainable_9e7a8_00064TERMINATED192.168.1.14:131282.87921high 95 1 15.3861 0.501416
trainable_9e7a8_00065TERMINATED192.168.1.14:131303.3177 low 40 1 14.7332 0.54902
trainable_9e7a8_00066TERMINATED192.168.1.14:131321.65135close 75 1 15.9992 0.474268
trainable_9e7a8_00067TERMINATED192.168.1.14:131332.71342low 95 1 15.0508 0.532895
trainable_9e7a8_00068TERMINATED192.168.1.14:131352.35478open 90 1 15.3029 0.500579
trainable_9e7a8_00069TERMINATED192.168.1.14:134143.82523low 70 1 13.3848 0.555556
trainable_9e7a8_00070TERMINATED192.168.1.14:135121.268 low 60 1 15.2099 0.464319
trainable_9e7a8_00071TERMINATED192.168.1.14:135293.12592high 80 1 14.354 0.520619
trainable_9e7a8_00072TERMINATED192.168.1.14:135313.23254low 30 1 14.4828 0.518018
trainable_9e7a8_00073TERMINATED192.168.1.14:137691.90762close 90 1 16.1004 0.49475
trainable_9e7a8_00074TERMINATED192.168.1.14:137852.52124low 45 1 15.8732 0.512903
trainable_9e7a8_00075TERMINATED192.168.1.14:138132.42818close 20 1 15.5327 0.509506
trainable_9e7a8_00076TERMINATED192.168.1.14:138163.99823high 80 1 14.2887 0.424242
trainable_9e7a8_00077TERMINATED192.168.1.14:138271.21075high 65 1 16.7525 0.455956
trainable_9e7a8_00078TERMINATED192.168.1.14:138301.62677open 5 1 17.1149 0.45854
trainable_9e7a8_00079TERMINATED192.168.1.14:138313.45973open 90 1 14.9029 0.532374
trainable_9e7a8_00080TERMINATED192.168.1.14:138341.20507low 45 1 16.247 0.468349
trainable_9e7a8_00081TERMINATED192.168.1.14:141131.95156close 70 1 15.7349 0.482554
trainable_9e7a8_00082TERMINATED192.168.1.14:142112.08625low 70 1 15.2856 0.488823
trainable_9e7a8_00083TERMINATED192.168.1.14:142293.11219close 85 1 14.1965 0.550802
trainable_9e7a8_00084TERMINATED192.168.1.14:142342.89401low 80 1 15.1861 0.549254
trainable_9e7a8_00085TERMINATED192.168.1.14:144123.16614high 20 1 14.416 0.498282
trainable_9e7a8_00086TERMINATED192.168.1.14:144343.62232high 65 1 14.3952 0.527027
trainable_9e7a8_00087TERMINATED192.168.1.14:144471.35735open 95 1 16.5042 0.462446
trainable_9e7a8_00088TERMINATED192.168.1.14:144503.48118low 50 1 14.7474 0.528846
trainable_9e7a8_00089TERMINATED192.168.1.14:144563.29228open 60 1 14.8363 0.541401
trainable_9e7a8_00090TERMINATED192.168.1.14:144661.59333close 85 1 15.7846 0.471831
trainable_9e7a8_00091TERMINATED192.168.1.14:144901.57782low 85 1 15.5251 0.472828
trainable_9e7a8_00092TERMINATED192.168.1.14:144972.69285close 95 1 14.1312 0.515738
trainable_9e7a8_00093TERMINATED192.168.1.14:147472.20476close 90 1 11.525 0.488419
trainable_9e7a8_00094TERMINATED192.168.1.14:148583.12346open 90 1 8.46505 0.543651
trainable_9e7a8_00095TERMINATED192.168.1.14:148613.92859low 100 1 7.35006 0.59322
trainable_9e7a8_00096TERMINATED192.168.1.14:148722.09419close 40 1 8.1103 0.475887
trainable_9e7a8_00097TERMINATED192.168.1.14:150391.54937high 50 1 7.58081 0.469942
trainable_9e7a8_00098TERMINATED192.168.1.14:150422.0235 high 70 1 6.61541 0.473904
trainable_9e7a8_00099TERMINATED192.168.1.14:150532.5238 close 80 1 6.57313 0.50361


" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-06-01 19:36:58,602\tINFO tune.py:701 -- Total run time: 187.59 seconds (187.44 seconds for the tuning loop).\n" - ] - } - ], - "source": [ - "analysis = tune.run(trainable, config=config, num_samples=100, mode='max', metric='accuracy')" - ] - }, - { - "cell_type": "markdown", - "id": "c274a392", - "metadata": {}, - "source": [ - "Let's see who was the best" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "b59aca0f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'window': 100, 'value_type': 'low', 'k_dev': 3.9285854094927943}" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "analysis.best_config" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Kernel for market trade lib", - "language": "python", - "name": "markettrade_kernel" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}