Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/projects/pymc3/pymc3/tests/test_posteriors.py
ClassName: TestMetropolisUniform
Testname: test_mean
Params: n_samples,31,16,ParamType.ITER,50000
tune,32,11,ParamType.ITER,10000
burn,33,11,ParamType.ITER,0
chains,34,13,ParamType.CHAINS,4
Assertion: npt.assert_allclose(expected, samples.mean(0), rtol=0.1, atol=0.05)
Original runtime: 113.271
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'n_samples': 50000, 'tune': 10000, 'burn': 0, 'chains': 4}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_50000_10000_0_4
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Timings: Avg: 116.24566666666666, Max: 127.67, Min: 86.49
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 116.24566666666666, Max: 127.67, Min: 86.49
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 116.24566666666666
Score: 116.24566666666666
Best-score: 116.24566666666666
Best-param: {'n_samples': 50000, 'tune': 10000, 'burn': 0, 'chains': 4}
>>Setting original runtime to 116.24566666666666
Optimization Iteration: 1
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 35100, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_20_1_35100_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 29.148, Max: 30.29, Min: 28.330000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 29.148, Max: 30.29, Min: 28.330000000000002
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 29.148
Score: 29.148
Best-score: 29.148
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 35100, 'tune': 300}
Optimization Iteration: 2
Running with params: {'burn': 90, 'chains': None, 'n_samples': 17400, 'tune': 900}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_90_None_17400_900
Launching 30 jobs, 30 in parallel
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Timings: Avg: 49.57066666666667, Max: 55.87, Min: 42.739999999999995
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 49.57066666666667, Max: 55.87, Min: 42.739999999999995
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 49.57066666666667
Score: 49.57066666666667
Best-score: 29.148
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 35100, 'tune': 300}
Optimization Iteration: 3
Running with params: {'burn': 690, 'chains': 4, 'n_samples': 6200, 'tune': 3100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_690_4_6200_3100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.207, Max: 39.410000000000004, Min: 33.550000000000004
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 35.207, Max: 39.410000000000004, Min: 33.550000000000004
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.207
Score: 35.207
Best-score: 29.148
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 35100, 'tune': 300}
Optimization Iteration: 4
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_20_1_400_3200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.253666666666664, Max: 24.4, Min: 23.76
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.253666666666664, Max: 24.4, Min: 23.76
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.253666666666664
Score: 24.253666666666664
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 5
Running with params: {'burn': 510, 'chains': 4, 'n_samples': 15700, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_510_4_15700_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 45.84233333333332, Max: 50.97, Min: 41.17
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 45.84233333333332, Max: 50.97, Min: 41.17
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 45.84233333333332
Score: 45.84233333333332
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 6
Running with params: {'burn': 170, 'chains': 3, 'n_samples': 2000, 'tune': 9500}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_170_3_2000_9500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.618333333333325, Max: 37.29, Min: 31.93
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 33.618333333333325, Max: 37.29, Min: 31.93
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.618333333333325
Score: 33.618333333333325
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 7
Running with params: {'burn': 70, 'chains': None, 'n_samples': 2200, 'tune': 2400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_70_None_2200_2400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 29.629, Max: 32.14, Min: 28.71
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 29.629, Max: 32.14, Min: 28.71
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 29.629
Score: 29.629
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 8
Running with params: {'burn': 110, 'chains': 6, 'n_samples': 500, 'tune': 800}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_110_6_500_800
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.936666666666667, Max: 27.96, Min: 26.18
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 26.936666666666667, Max: 27.96, Min: 26.18
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.936666666666667
Score: 26.936666666666667
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 9
Running with params: {'burn': 160, 'chains': 1, 'n_samples': 200, 'tune': 8400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_160_1_200_8400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.02366666666667, Max: 25.630000000000003, Min: 24.76
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 10
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 300, 'tune': 500}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_3_300_500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.78366666666666, Max: 25.38, Min: 24.27
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.78366666666666, Max: 25.38, Min: 24.27
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.78366666666666
Score: 24.78366666666666
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 11
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 20800, 'tune': 2500}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_1_20800_2500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.120000000000005, Max: 28.38, Min: 26.669999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.120000000000005, Max: 28.38, Min: 26.669999999999998
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.120000000000005
Score: 27.120000000000005
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 12
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 7800, 'tune': 1600}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_1_7800_1600
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.500333333333337, Max: 25.56, Min: 23.83
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.500333333333337, Max: 25.56, Min: 23.83
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.500333333333337
Score: 24.500333333333337
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 13
Running with params: {'burn': 90, 'chains': 3, 'n_samples': 2500, 'tune': 1100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_90_3_2500_1100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.08533333333333, Max: 29.09, Min: 26.28
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.08533333333333, Max: 29.09, Min: 26.28
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.08533333333333
Score: 27.08533333333333
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 14
Running with params: {'burn': 960, 'chains': 3, 'n_samples': 700, 'tune': 1400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_960_3_700_1400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.889, Max: 26.78, Min: 25.09
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 15
Running with params: {'burn': 570, 'chains': None, 'n_samples': 17700, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_570_None_17700_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 47.858999999999995, Max: 54.75, Min: 43.18000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 47.858999999999995, Max: 54.75, Min: 43.18000000000001
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 47.858999999999995
Score: 47.858999999999995
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 16
Running with params: {'burn': 20, 'chains': None, 'n_samples': 21500, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_20_None_21500_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 52.26, Max: 62.44, Min: 46.81
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 52.26, Max: 62.44, Min: 46.81
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 52.26
Score: 52.26
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 17
Running with params: {'burn': 710, 'chains': 5, 'n_samples': 100, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_710_5_100_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.593333333333337, Max: 24.740000000000002, Min: 24.27
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 18
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 300, 'tune': 1800}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_3_300_1800
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Timings: Avg: 25.779333333333334, Max: 26.73, Min: 25.369999999999997
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 19
Running with params: {'burn': 80, 'chains': 3, 'n_samples': 24600, 'tune': 2000}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_80_3_24600_2000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 51.242000000000004, Max: 58.39, Min: 45.849999999999994
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 51.242000000000004, Max: 58.39, Min: 45.849999999999994
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 51.242000000000004
Score: 51.242000000000004
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 20
Running with params: {'burn': 0, 'chains': 5, 'n_samples': 300, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_5_300_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.03633333333333, Max: 25.759999999999998, Min: 24.54
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 21
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 6800, 'tune': 5300}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_2_6800_5300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.46766666666667, Max: 33.37, Min: 29.270000000000003
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 30.46766666666667, Max: 33.37, Min: 29.270000000000003
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.46766666666667
Score: 30.46766666666667
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 22
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 1200, 'tune': 5000}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_1_1200_5000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.921666666666667, Max: 25.3, Min: 24.63
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.921666666666667, Max: 25.3, Min: 24.63
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.921666666666667
Score: 24.921666666666667
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 23
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 5900, 'tune': 4000}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_1_5900_4000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.39566666666667, Max: 25.79, Min: 25.13
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 25.39566666666667, Max: 25.79, Min: 25.13
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 25.39566666666667
Score: 25.39566666666667
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 24
Running with params: {'burn': 40, 'chains': 1, 'n_samples': 100, 'tune': 6100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_40_1_100_6100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.776666666666667, Max: 25.21, Min: 23.830000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.776666666666667, Max: 25.21, Min: 23.830000000000002
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.776666666666667
Score: 24.776666666666667
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 25
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 3600, 'tune': 3400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_2_3600_3400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.122999999999994, Max: 29.31, Min: 27.369999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 28.122999999999994, Max: 29.31, Min: 27.369999999999997
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.122999999999994
Score: 28.122999999999994
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Upto iteration 50: {'burn': 20.0, 'chains': 0, 'n_samples': 400.0, 'tune': 3200.0}
Optimization Iteration: 26
Running with params: {'burn': 10, 'chains': 6, 'n_samples': 1000, 'tune': 700}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_6_1000_700
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.852666666666668, Max: 29.189999999999998, Min: 27.080000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.852666666666668, Max: 29.189999999999998, Min: 27.080000000000002
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.852666666666668
Score: 27.852666666666668
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 27
Running with params: {'burn': 30, 'chains': 1, 'n_samples': 9800, 'tune': 1500}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_30_1_9800_1500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.340000000000007, Max: 25.990000000000002, Min: 23.76
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 25.340000000000007, Max: 25.990000000000002, Min: 23.76
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 25.340000000000007
Score: 25.340000000000007
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 28
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 1300, 'tune': 6900}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_1_1300_6900
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.17333333333333, Max: 25.400000000000002, Min: 24.970000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 25.17333333333333, Max: 25.400000000000002, Min: 24.970000000000002
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 25.17333333333333
Score: 25.17333333333333
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 29
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 37500, 'tune': 1200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_20_1_37500_1200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 29.551666666666666, Max: 30.53, Min: 29.240000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 29.551666666666666, Max: 30.53, Min: 29.240000000000002
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 29.551666666666666
Score: 29.551666666666666
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 30
Running with params: {'burn': 10, 'chains': 5, 'n_samples': 4100, 'tune': 600}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_5_4100_600
Launching 30 jobs, 30 in parallel
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Timings: Avg: 32.294999999999995, Max: 34.14, Min: 30.98
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 32.294999999999995, Max: 34.14, Min: 30.98
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 32.294999999999995
Score: 32.294999999999995
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 31
Running with params: {'burn': 0, 'chains': 4, 'n_samples': 600, 'tune': 4100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_4_600_4100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.015, Max: 31.68, Min: 28.96
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 30.015, Max: 31.68, Min: 28.96
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.015
Score: 30.015
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 32
Running with params: {'burn': 20, 'chains': 2, 'n_samples': 9900, 'tune': 2800}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_20_2_9900_2800
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.47766666666667, Max: 30.96, Min: 29.81
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 30.47766666666667, Max: 30.96, Min: 29.81
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.47766666666667
Score: 30.47766666666667
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 33
Running with params: {'burn': 280, 'chains': 6, 'n_samples': 200, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_280_6_200_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.052, Max: 25.3, Min: 24.380000000000003
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 34
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 44600, 'tune': 1000}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_1_44600_1000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 31.11433333333333, Max: 37.27, Min: 29.87
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 31.11433333333333, Max: 37.27, Min: 29.87
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 31.11433333333333
Score: 31.11433333333333
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 35
Running with params: {'burn': 40, 'chains': 4, 'n_samples': 10100, 'tune': 1800}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_40_4_10100_1800
Launching 30 jobs, 30 in parallel
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Timings: Avg: 40.50300000000001, Max: 44.36, Min: 37.190000000000005
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 40.50300000000001, Max: 44.36, Min: 37.190000000000005
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 40.50300000000001
Score: 40.50300000000001
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 36
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 1900, 'tune': 3400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_1_1900_3400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.839000000000002, Max: 25.310000000000002, Min: 24.59
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.839000000000002, Max: 25.310000000000002, Min: 24.59
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.839000000000002
Score: 24.839000000000002
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 37
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 3500, 'tune': 7300}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_1_3500_7300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.463, Max: 25.810000000000002, Min: 25.209999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 25.463, Max: 25.810000000000002, Min: 25.209999999999997
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 25.463
Score: 25.463
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 38
Running with params: {'burn': 60, 'chains': 4, 'n_samples': 200, 'tune': 2100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_60_4_200_2100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.29933333333333, Max: 28.23, Min: 26.64
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.29933333333333, Max: 28.23, Min: 26.64
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.29933333333333
Score: 27.29933333333333
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 39
Running with params: {'burn': 310, 'chains': 6, 'n_samples': 400, 'tune': 900}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_310_6_400_900
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.950666666666667, Max: 28.18, Min: 26.259999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 26.950666666666667, Max: 28.18, Min: 26.259999999999998
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.950666666666667
Score: 26.950666666666667
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 40
Running with params: {'burn': 0, 'chains': None, 'n_samples': 800, 'tune': 9700}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_None_800_9700
Launching 30 jobs, 30 in parallel
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Timings: Avg: 38.29566666666666, Max: 42.68000000000001, Min: 34.35
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 38.29566666666666, Max: 42.68000000000001, Min: 34.35
Variance (1.0833355937178202e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 38.29566666666666
Score: 38.29566666666666
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 41
Running with params: {'burn': 130, 'chains': 1, 'n_samples': 1800, 'tune': 1400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_130_1_1800_1400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.614, Max: 25.5, Min: 24.18
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.614, Max: 25.5, Min: 24.18
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.614
Score: 24.614
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 42
Running with params: {'burn': 20, 'chains': 5, 'n_samples': 13500, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_20_5_13500_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 45.32866666666666, Max: 54.02, Min: 41.11
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 45.32866666666666, Max: 54.02, Min: 41.11
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 45.32866666666666
Score: 45.32866666666666
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 43
Running with params: {'burn': 10, 'chains': 2, 'n_samples': 5600, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_2_5600_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.014333333333337, Max: 28.330000000000002, Min: 25.759999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.014333333333337, Max: 28.330000000000002, Min: 25.759999999999998
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.014333333333337
Score: 27.014333333333337
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 44
Running with params: {'burn': 30, 'chains': 1, 'n_samples': 27800, 'tune': 2800}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_30_1_27800_2800
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.621333333333332, Max: 30.369999999999997, Min: 28.060000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 28.621333333333332, Max: 30.369999999999997, Min: 28.060000000000002
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.621333333333332
Score: 28.621333333333332
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 45
Running with params: {'burn': 50, 'chains': None, 'n_samples': 2800, 'tune': 700}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_50_None_2800_700
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.76933333333334, Max: 29.75, Min: 27.56
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 28.76933333333334, Max: 29.75, Min: 27.56
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.76933333333334
Score: 28.76933333333334
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 46
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 1500, 'tune': 4300}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_1_1500_4300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.01033333333333, Max: 25.11, Min: 24.85
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 25.01033333333333, Max: 25.11, Min: 24.85
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 25.01033333333333
Score: 25.01033333333333
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 47
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 400, 'tune': 1700}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_4_400_1700
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.207333333333334, Max: 27.89, Min: 26.54
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.207333333333334, Max: 27.89, Min: 26.54
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.207333333333334
Score: 27.207333333333334
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 48
Running with params: {'burn': 0, 'chains': 6, 'n_samples': 100, 'tune': 2200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_6_100_2200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 29.08, Max: 30.23, Min: 28.12
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 29.08, Max: 30.23, Min: 28.12
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 29.08
Score: 29.08
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 49
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 200, 'tune': 2500}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_10_3_200_2500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.811999999999998, Max: 27.950000000000003, Min: 26.229999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 26.811999999999998, Max: 27.950000000000003, Min: 26.229999999999997
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.811999999999998
Score: 26.811999999999998
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Optimization Iteration: 50
Running with params: {'burn': 0, 'chains': 5, 'n_samples': 4600, 'tune': 1200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598017869/assert_8261668_0_5_4600_1200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.98233333333333, Max: 37.05, Min: 31.79
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 33.98233333333333, Max: 37.05, Min: 31.79
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.98233333333333
Score: 33.98233333333333
Best-score: 24.253666666666664
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 3200}
Upto iteration 100: {'burn': 20.0, 'chains': 0, 'n_samples': 400.0, 'tune': 3200.0}
Breaking...
{'burn': 20.0, 'chains': 0, 'n_samples': 400.0, 'tune': 3200.0}
Best score: 24.253666666666664
Repeated params: 0
Trials: 51
Best param {'burn': 20.0, 'chains': 0, 'n_samples': 400.0, 'tune': 3200.0}
Reduction: 79.13585309273178%
Speedup: 4.792911037506357x
Optimizer time: 12350.100867509842
