Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/projects/pymc3/pymc3/tests/test_variational_inference.py
ClassName: none
Testname: test_fit_oo[ASVGD-mini]
Params: param1,708,47,ParamType.ITER,10000
param2,691,58,ParamType.LR,0.07
Assertion: np.testing.assert_allclose(np.mean(trace['mu']), mu_post, rtol=0.05)
Original runtime: 32.818999999999996
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'param1': 10000, 'param2': 0.07}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_10000_0.07
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.50333333333333, Max: 38.55, Min: 32.6
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 34.50333333333333, Max: 38.55, Min: 32.6
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.50333333333333
Score: 34.50333333333333
Best-score: 34.50333333333333
Best-param: {'param1': 10000, 'param2': 0.07}
>>Setting original runtime to 34.50333333333333
Optimization Iteration: 1
Running with params: {'param1': 300, 'param2': 0.34041401980742525}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_300_0.34041401980742525
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.138333333333335, Max: 36.46, Min: 32.92
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: 34.50333333333333
Best-param: {'param1': 10000, 'param2': 0.07}
Optimization Iteration: 2
Running with params: {'param1': 4400, 'param2': 0.18112879981818444}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_4400_0.18112879981818444
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.95733333333333, Max: 35.69, Min: 32.06
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 33.95733333333333, Max: 35.69, Min: 32.06
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.95733333333333
Score: 33.95733333333333
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 3
Running with params: {'param1': 100, 'param2': 0.0022898201329159215}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.0022898201329159215
Optimization Iteration: 4
Running with params: {'param1': 300, 'param2': 0.0027899466022470094}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.0027899466022470094
Optimization Iteration: 5
Running with params: {'param1': 1700, 'param2': 0.00013599344630788534}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.00013599344630788534
Optimization Iteration: 6
Running with params: {'param1': 200, 'param2': 0.1224127231000944}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.1224127231000944
Optimization Iteration: 7
Running with params: {'param1': 200, 'param2': 0.004668238098044029}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.004668238098044029
Optimization Iteration: 8
Running with params: {'param1': 4900, 'param2': 0.28761004333630225}
Higher iteration... returning...
Optimization Iteration: 9
Running with params: {'param1': 8500, 'param2': 0.035548392003764064}
Higher iteration... returning...
Optimization Iteration: 10
Running with params: {'param1': 3600, 'param2': 0.00016138997845678907}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.00016138997845678907
Optimization Iteration: 11
Running with params: {'param1': 100, 'param2': 0.003043003712422319}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.003043003712422319
Optimization Iteration: 12
Running with params: {'param1': 200, 'param2': 0.005579576636621942}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.005579576636621942
Optimization Iteration: 13
Running with params: {'param1': 2000, 'param2': 0.0002530913287292836}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.0002530913287292836
Optimization Iteration: 14
Running with params: {'param1': 100, 'param2': 0.35161083616056865}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_100_0.35161083616056865
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.976000000000006, Max: 37.760000000000005, Min: 32.57
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 33.976000000000006, Max: 37.760000000000005, Min: 32.57
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.976000000000006
Score: 33.976000000000006
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 15
Running with params: {'param1': 8200, 'param2': 0.13787224704306683}
Higher iteration... returning...
Optimization Iteration: 16
Running with params: {'param1': 1500, 'param2': 0.0039026408369362397}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.0039026408369362397
Optimization Iteration: 17
Running with params: {'param1': 300, 'param2': 0.015025168918013846}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.015025168918013846
Optimization Iteration: 18
Running with params: {'param1': 2800, 'param2': 0.0007379013909382994}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.0007379013909382994
Optimization Iteration: 19
Running with params: {'param1': 1600, 'param2': 0.1107021443253808}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.1107021443253808
Optimization Iteration: 20
Running with params: {'param1': 700, 'param2': 0.00041310486511391336}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.00041310486511391336
Optimization Iteration: 21
Running with params: {'param1': 600, 'param2': 0.03460209220592034}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.03460209220592034
Optimization Iteration: 22
Running with params: {'param1': 5900, 'param2': 0.45694500654784953}
Higher iteration... returning...
Optimization Iteration: 23
Running with params: {'param1': 700, 'param2': 0.032298781236933034}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.032298781236933034
Optimization Iteration: 24
Running with params: {'param1': 1000, 'param2': 0.061213012175314795}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.061213012175314795
Optimization Iteration: 25
Running with params: {'param1': 3000, 'param2': 0.012491894977889323}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.012491894977889323
Optimization Iteration: 26
Running with params: {'param1': 6000, 'param2': 0.28725502131025893}
Higher iteration... returning...
Optimization Iteration: 27
Running with params: {'param1': 4300, 'param2': 0.1832484413897236}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_4300_0.1832484413897236
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.190333333333335, Max: 35.620000000000005, Min: 33.2
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 34.190333333333335, Max: 35.620000000000005, Min: 33.2
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.190333333333335
Score: 34.190333333333335
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 28
Running with params: {'param1': 1100, 'param2': 0.06409195221265061}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.06409195221265061
Optimization Iteration: 29
Running with params: {'param1': 400, 'param2': 0.3878238531011812}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_400_0.3878238531011812
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.495333333333335, Max: 36.72, Min: 33.47
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: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 30
Running with params: {'param1': 100, 'param2': 0.0013962435778325027}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.0013962435778325027
Optimization Iteration: 31
Running with params: {'param1': 9800, 'param2': 0.011489942330645772}
Higher iteration... returning...
Optimization Iteration: 32
Running with params: {'param1': 500, 'param2': 0.4990898698016237}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_500_0.4990898698016237
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.16966666666667, Max: 37.97, Min: 33.34
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: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 33
Running with params: {'param1': 2400, 'param2': 0.06271573224709133}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.06271573224709133
Optimization Iteration: 34
Running with params: {'param1': 1100, 'param2': 0.02101452704392218}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.02101452704392218
Optimization Iteration: 35
Running with params: {'param1': 100, 'param2': 0.27221372182718834}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_100_0.27221372182718834
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.62866666666667, Max: 39.76, Min: 33.34
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 35.62866666666667, Max: 39.76, Min: 33.34
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.62866666666667
Score: 35.62866666666667
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 36
Running with params: {'param1': 300, 'param2': 0.08641598857848051}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.08641598857848051
Optimization Iteration: 37
Running with params: {'param1': 200, 'param2': 0.20745869413182935}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_200_0.20745869413182935
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.205666666666666, Max: 36.790000000000006, Min: 33.49
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 35.205666666666666, Max: 36.790000000000006, Min: 33.49
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.205666666666666
Score: 35.205666666666666
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 38
Running with params: {'param1': 7000, 'param2': 0.00755254565338889}
Higher iteration... returning...
Optimization Iteration: 39
Running with params: {'param1': 100, 'param2': 0.02169363929705405}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.02169363929705405
Optimization Iteration: 40
Running with params: {'param1': 3900, 'param2': 0.1462479617085413}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.1462479617085413
Optimization Iteration: 41
Running with params: {'param1': 200, 'param2': 0.001611599548243425}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.001611599548243425
Optimization Iteration: 42
Running with params: {'param1': 2100, 'param2': 0.04667647172286675}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.04667647172286675
Optimization Iteration: 43
Running with params: {'param1': 900, 'param2': 0.00010091444751133985}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.00010091444751133985
Optimization Iteration: 44
Running with params: {'param1': 1400, 'param2': 0.007747832011928114}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.007747832011928114
Optimization Iteration: 45
Running with params: {'param1': 400, 'param2': 0.09686031771231045}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.09686031771231045
Optimization Iteration: 46
Running with params: {'param1': 3100, 'param2': 0.20981442403426825}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_3100_0.20981442403426825
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.544333333333334, Max: 39.08, Min: 34.26
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 35.544333333333334, Max: 39.08, Min: 34.26
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.544333333333334
Score: 35.544333333333334
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 47
Running with params: {'param1': 9700, 'param2': 0.4651967504493984}
Higher iteration... returning...
Optimization Iteration: 48
Running with params: {'param1': 5300, 'param2': 0.022529550515209686}
Higher iteration... returning...
Optimization Iteration: 49
Running with params: {'param1': 7500, 'param2': 0.0007623364809448941}
Higher iteration... returning...
Optimization Iteration: 50
Running with params: {'param1': 1300, 'param2': 0.31597389087693206}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_1300_0.31597389087693206
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.507, Max: 37.39, Min: 33.79
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: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Upto iteration 50: {'param1': 4400.0, 'param2': 0.18112879981818444}
Optimization Iteration: 51
Running with params: {'param1': 1900, 'param2': 0.08564992965941319}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.08564992965941319
Optimization Iteration: 52
Running with params: {'param1': 800, 'param2': 0.04440857518747159}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.04440857518747159
Optimization Iteration: 53
Running with params: {'param1': 100, 'param2': 0.14497692978366017}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.14497692978366017
Optimization Iteration: 54
Running with params: {'param1': 200, 'param2': 0.0021409987810515354}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.0021409987810515354
Optimization Iteration: 55
Running with params: {'param1': 300, 'param2': 0.030319984873096457}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.030319984873096457
Optimization Iteration: 56
Running with params: {'param1': 4500, 'param2': 0.00034272160861110036}
Higher iteration... returning...
Optimization Iteration: 57
Running with params: {'param1': 3300, 'param2': 0.005578840933402341}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.005578840933402341
Optimization Iteration: 58
Running with params: {'param1': 2300, 'param2': 0.23441594289856346}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_2300_0.23441594289856346
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Timings: Avg: 36.934333333333335, Max: 40.81, Min: 35.34
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: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 59
Running with params: {'param1': 600, 'param2': 0.38156930749887397}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_600_0.38156930749887397
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.192, Max: 36.980000000000004, Min: 34.31
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 35.192, Max: 36.980000000000004, Min: 34.31
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.192
Score: 35.192
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 60
Running with params: {'param1': 400, 'param2': 0.16450415877154642}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_400_0.16450415877154642
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.576, Max: 38.7, Min: 34.510000000000005
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: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 61
Running with params: {'param1': 1600, 'param2': 0.1190191610985557}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.1190191610985557
Optimization Iteration: 62
Running with params: {'param1': 100, 'param2': 0.004043479693041374}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.004043479693041374
Optimization Iteration: 63
Running with params: {'param1': 6200, 'param2': 0.010777634626608391}
Higher iteration... returning...
Optimization Iteration: 64
Running with params: {'param1': 2600, 'param2': 0.00017710030435542543}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.00017710030435542543
Optimization Iteration: 65
Running with params: {'param1': 3700, 'param2': 0.01707411088724108}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.01707411088724108
Optimization Iteration: 66
Running with params: {'param1': 4400, 'param2': 0.17868797370273215}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_4400_0.17868797370273215
Launching 30 jobs, 30 in parallel
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Timings: Avg: 37.565000000000005, Max: 41.519999999999996, Min: 35.7
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 37.565000000000005, Max: 41.519999999999996, Min: 35.7
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 37.565000000000005
Score: 37.565000000000005
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 67
Running with params: {'param1': 5400, 'param2': 0.07162868240628616}
Higher iteration... returning...
Optimization Iteration: 68
Running with params: {'param1': 9200, 'param2': 0.051966009953345896}
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Optimization Iteration: 69
Running with params: {'param1': 8400, 'param2': 0.34290084564672807}
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Optimization Iteration: 70
Running with params: {'param1': 1900, 'param2': 0.02749617711916822}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.02749617711916822
Optimization Iteration: 71
Running with params: {'param1': 6900, 'param2': 0.24813322057478518}
Higher iteration... returning...
Optimization Iteration: 72
Running with params: {'param1': 1200, 'param2': 0.11119512672008704}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.11119512672008704
Optimization Iteration: 73
Running with params: {'param1': 4200, 'param2': 0.041057917759362746}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.041057917759362746
Optimization Iteration: 74
Running with params: {'param1': 2800, 'param2': 0.1884197255446126}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_2800_0.1884197255446126
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.961000000000006, Max: 37.92, Min: 34.82
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: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 75
Running with params: {'param1': 4800, 'param2': 0.39340331488229197}
Higher iteration... returning...
Optimization Iteration: 76
Running with params: {'param1': 900, 'param2': 0.0774718666424659}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.0774718666424659
Optimization Iteration: 77
Running with params: {'param1': 3500, 'param2': 0.4573110988186879}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_3500_0.4573110988186879
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.160999999999994, Max: 37.86, Min: 35.18
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 36.160999999999994, Max: 37.86, Min: 35.18
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.160999999999994
Score: 36.160999999999994
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 78
Running with params: {'param1': 1700, 'param2': 0.1038819422480904}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.1038819422480904
Optimization Iteration: 79
Running with params: {'param1': 2400, 'param2': 0.05977908676091503}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.05977908676091503
Optimization Iteration: 80
Running with params: {'param1': 500, 'param2': 0.1349694392257504}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.1349694392257504
Optimization Iteration: 81
Running with params: {'param1': 7900, 'param2': 0.0006780167831184495}
Higher iteration... returning...
Optimization Iteration: 82
Running with params: {'param1': 200, 'param2': 0.29882227349797047}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_200_0.29882227349797047
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.96166666666667, Max: 39.620000000000005, Min: 35.9
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 36.96166666666667, Max: 39.620000000000005, Min: 35.9
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.96166666666667
Score: 36.96166666666667
Best-score: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 83
Running with params: {'param1': 5500, 'param2': 0.017207409833379452}
Higher iteration... returning...
Optimization Iteration: 84
Running with params: {'param1': 3900, 'param2': 0.04018124324106602}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.04018124324106602
Optimization Iteration: 85
Running with params: {'param1': 2900, 'param2': 0.0028691882322502966}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.0028691882322502966
Optimization Iteration: 86
Running with params: {'param1': 6300, 'param2': 0.05179920786748059}
Higher iteration... returning...
Optimization Iteration: 87
Running with params: {'param1': 2200, 'param2': 0.009689367777697947}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.009689367777697947
Optimization Iteration: 88
Running with params: {'param1': 100, 'param2': 0.23396068140837178}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_100_0.23396068140837178
Launching 30 jobs, 30 in parallel
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Timings: Avg: 37.658666666666676, Max: 40.25, Min: 35.66
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: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 89
Running with params: {'param1': 700, 'param2': 0.024539994541554196}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.024539994541554196
Optimization Iteration: 90
Running with params: {'param1': 9100, 'param2': 0.3943536212102786}
Higher iteration... returning...
Optimization Iteration: 91
Running with params: {'param1': 300, 'param2': 0.03548863664271313}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.03548863664271313
Optimization Iteration: 92
Running with params: {'param1': 1800, 'param2': 0.09553595187542609}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.09553595187542609
Optimization Iteration: 93
Running with params: {'param1': 1500, 'param2': 0.4815381597536767}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_1500_0.4815381597536767
Launching 30 jobs, 30 in parallel
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Timings: Avg: 37.57366666666666, Max: 42.97, Min: 35.45
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: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 94
Running with params: {'param1': 3200, 'param2': 0.15766573196054692}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.15766573196054692
Optimization Iteration: 95
Running with params: {'param1': 500, 'param2': 0.005788719826694033}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.005788719826694033
Optimization Iteration: 96
Running with params: {'param1': 7100, 'param2': 0.014257753698127132}
Higher iteration... returning...
Optimization Iteration: 97
Running with params: {'param1': 2600, 'param2': 0.20010603233037616}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1597984375/assert_37075660_2600_0.20010603233037616
Launching 30 jobs, 30 in parallel
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Timings: Avg: 37.986999999999995, Max: 41.730000000000004, Min: 36.02
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: 33.95733333333333
Best-param: {'param1': 4400, 'param2': 0.18112879981818444}
Optimization Iteration: 98
Running with params: {'param1': 1300, 'param2': 0.1327241916502582}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.1327241916502582
Optimization Iteration: 99
Running with params: {'param1': 4900, 'param2': 0.0011958804067120211}
Higher iteration... returning...
Optimization Iteration: 100
Running with params: {'param1': 800, 'param2': 0.08044298801485544}
Lower learning rate.. returning... Best: 0.18112879981818444, Proposed: 0.08044298801485544
Upto iteration 100: {'param1': 4400.0, 'param2': 0.18112879981818444}
Breaking...
{'param1': 4400.0, 'param2': 0.18112879981818444}
Best score: 33.95733333333333
Repeated params: 0
Trials: 101
Best param {'param1': 4400.0, 'param2': 0.18112879981818444}
Reduction: 1.5824558013718464%
Speedup: 1.016079001099419x
Optimizer time: 8858.550575733185
