Repo: pymc-learn
Filename: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/projects/pymc-learn/pmlearn/linear_model/tests/test_logistic.py
ClassName: TestHierarchicalLogisticRegressionPredict
Testname: test_predict_returns_predictions
Params: n,130,67,ParamType.ITER,50000
minibatch_size,130,41,ParamType.ITER,500
Assertion: npt.assert_equal(preds.shape, self.y_test.shape)
Original runtime: 25.55
>>Getting original runtime
Optimization Iteration: -1
Running with params: {'n': 50000, 'minibatch_size': 500}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_50000_500
Launching 30 jobs, 10 in parallel
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Timings: Avg: 27.235666666666667, Max: 32.55, Min: 24.05
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 27.235666666666667, Max: 32.55, Min: 24.05
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.235666666666667
Score: 27.235666666666667
Best-score: 27.235666666666667
Best-param: {'n': 50000, 'minibatch_size': 500}
>>Setting original runtime to 27.235666666666667
Optimization Iteration: 1
Running with params: {'minibatch_size': 120, 'n': 2000}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_120_2000
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Timings: Avg: 11.646000000000004, Max: 12.620000000000001, Min: 10.85
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 11.646000000000004, Max: 12.620000000000001, Min: 10.85
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.646000000000004
Score: 11.646000000000004
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 2
Running with params: {'minibatch_size': 310, 'n': 2800}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_310_2800
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Timings: Avg: 12.12, Max: 12.93, Min: 11.17
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 12.12, Max: 12.93, Min: 11.17
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.12
Score: 12.12
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 3
Running with params: {'minibatch_size': 320, 'n': 700}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_320_700
Launching 30 jobs, 10 in parallel
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Timings: Avg: 11.833666666666666, Max: 12.79, Min: 10.84
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 11.833666666666666, Max: 12.79, Min: 10.84
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.833666666666666
Score: 11.833666666666666
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 4
Running with params: {'minibatch_size': 190, 'n': 25200}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_190_25200
Launching 30 jobs, 10 in parallel
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Timings: Avg: 17.780000000000005, Max: 21.51, Min: 16.06
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 17.780000000000005, Max: 21.51, Min: 16.06
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 17.780000000000005
Score: 17.780000000000005
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 5
Running with params: {'minibatch_size': 250, 'n': 8600}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_250_8600
Launching 30 jobs, 10 in parallel
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Timings: Avg: 13.677000000000001, Max: 15.65, Min: 12.58
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.677000000000001, Max: 15.65, Min: 12.58
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.677000000000001
Score: 13.677000000000001
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 6
Running with params: {'minibatch_size': 150, 'n': 8900}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_150_8900
Launching 30 jobs, 10 in parallel
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Timings: Avg: 13.565000000000001, Max: 15.34, Min: 12.64
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.565000000000001, Max: 15.34, Min: 12.64
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.565000000000001
Score: 13.565000000000001
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 7
Running with params: {'minibatch_size': 300, 'n': 1900}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_300_1900
Launching 30 jobs, 10 in parallel
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Timings: Avg: 12.654999999999998, Max: 13.87, Min: 11.489999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 12.654999999999998, Max: 13.87, Min: 11.489999999999998
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.654999999999998
Score: 12.654999999999998
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 8
Running with params: {'minibatch_size': 190, 'n': 11700}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_190_11700
Launching 30 jobs, 10 in parallel
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Timings: Avg: 14.867999999999999, Max: 16.11, Min: 13.73
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.867999999999999, Max: 16.11, Min: 13.73
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.867999999999999
Score: 14.867999999999999
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 9
Running with params: {'minibatch_size': 320, 'n': 300}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_320_300
Launching 30 jobs, 10 in parallel
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Timings: Avg: 12.705, Max: 14.07, Min: 11.56
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 12.705, Max: 14.07, Min: 11.56
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.705
Score: 12.705
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 10
Running with params: {'minibatch_size': 350, 'n': 2700}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_350_2700
Launching 30 jobs, 10 in parallel
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Timings: Avg: 13.206666666666669, Max: 14.360000000000001, Min: 12.02
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.206666666666669, Max: 14.360000000000001, Min: 12.02
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.206666666666669
Score: 13.206666666666669
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 11
Running with params: {'minibatch_size': 110, 'n': 6700}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_110_6700
Launching 30 jobs, 10 in parallel
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Timings: Avg: 13.667999999999997, Max: 14.67, Min: 12.52
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.667999999999997, Max: 14.67, Min: 12.52
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.667999999999997
Score: 13.667999999999997
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 12
Running with params: {'minibatch_size': 300, 'n': 20900}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_300_20900
Launching 30 jobs, 10 in parallel
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Timings: Avg: 17.93433333333333, Max: 20.619999999999997, Min: 16.17
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 17.93433333333333, Max: 20.619999999999997, Min: 16.17
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 17.93433333333333
Score: 17.93433333333333
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 13
Running with params: {'minibatch_size': 220, 'n': 4700}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_220_4700
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Timings: Avg: 13.698000000000002, Max: 15.3, Min: 12.459999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.698000000000002, Max: 15.3, Min: 12.459999999999999
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.698000000000002
Score: 13.698000000000002
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 14
Running with params: {'minibatch_size': 160, 'n': 2800}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_160_2800
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Timings: Avg: 13.560666666666666, Max: 14.370000000000001, Min: 12.32
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.560666666666666, Max: 14.370000000000001, Min: 12.32
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.560666666666666
Score: 13.560666666666666
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 15
Running with params: {'minibatch_size': 110, 'n': 7200}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_110_7200
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Timings: Avg: 14.443333333333332, Max: 15.81, Min: 13.3
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.443333333333332, Max: 15.81, Min: 13.3
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.443333333333332
Score: 14.443333333333332
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 16
Running with params: {'minibatch_size': 180, 'n': 1300}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_180_1300
Launching 30 jobs, 10 in parallel
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Timings: Avg: 13.498, Max: 14.709999999999999, Min: 12.4
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.498, Max: 14.709999999999999, Min: 12.4
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.498
Score: 13.498
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 17
Running with params: {'minibatch_size': 320, 'n': 3100}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_320_3100
Launching 30 jobs, 10 in parallel
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Timings: Avg: 14.117333333333331, Max: 15.540000000000001, Min: 12.78
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.117333333333331, Max: 15.540000000000001, Min: 12.78
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.117333333333331
Score: 14.117333333333331
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 18
Running with params: {'minibatch_size': 170, 'n': 300}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_170_300
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Timings: Avg: 13.564333333333334, Max: 14.74, Min: 12.33
Passed tests : 30
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Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.564333333333334, Max: 14.74, Min: 12.33
Probability of fail : 0.0
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Runtime: 13.564333333333334
Score: 13.564333333333334
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 19
Running with params: {'minibatch_size': 210, 'n': 1000}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_210_1000
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Timings: Avg: 13.613333333333333, Max: 16.07, Min: 12.6
Passed tests : 30
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Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.613333333333333, Max: 16.07, Min: 12.6
Probability of fail : 0.0
All-Passed: True
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Runtime: 13.613333333333333
Score: 13.613333333333333
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 20
Running with params: {'minibatch_size': 140, 'n': 9500}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_140_9500
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Timings: Avg: 15.48, Max: 16.54, Min: 13.94
Passed tests : 30
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Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 15.48, Max: 16.54, Min: 13.94
Probability of fail : 0.0
All-Passed: True
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Runtime: 15.48
Score: 15.48
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 21
Running with params: {'minibatch_size': 460, 'n': 600}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_460_600
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Timings: Avg: 13.979333333333331, Max: 15.15, Min: 12.93
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 13.979333333333331, Max: 15.15, Min: 12.93
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.979333333333331
Score: 13.979333333333331
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 22
Running with params: {'minibatch_size': 470, 'n': 700}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_470_700
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Timings: Avg: 14.033, Max: 15.66, Min: 12.74
Passed tests : 30
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Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.033, Max: 15.66, Min: 12.74
Probability of fail : 0.0
All-Passed: True
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Runtime: 14.033
Score: 14.033
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 23
Running with params: {'minibatch_size': 390, 'n': 100}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_390_100
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Timings: Avg: 14.075666666666669, Max: 15.34, Min: 12.58
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.075666666666669, Max: 15.34, Min: 12.58
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.075666666666669
Score: 14.075666666666669
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 24
Running with params: {'minibatch_size': 400, 'n': 200}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_400_200
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Timings: Avg: 14.260333333333332, Max: 15.5, Min: 12.95
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.260333333333332, Max: 15.5, Min: 12.95
Probability of fail : 0.0
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Runtime: 14.260333333333332
Score: 14.260333333333332
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Upto iteration 50: {'minibatch_size': 120.0, 'n': 2000.0}
Optimization Iteration: 25
Running with params: {'minibatch_size': 260, 'n': 500}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_260_500
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Timings: Avg: 14.69566666666667, Max: 15.620000000000001, Min: 13.14
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.69566666666667, Max: 15.620000000000001, Min: 13.14
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.69566666666667
Score: 14.69566666666667
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 26
Running with params: {'minibatch_size': 130, 'n': 42000}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_130_42000
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Timings: Avg: 23.073666666666664, Max: 26.43, Min: 20.66
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 23.073666666666664, Max: 26.43, Min: 20.66
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 23.073666666666664
Score: 23.073666666666664
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 27
Running with params: {'minibatch_size': 250, 'n': 100}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_250_100
Launching 30 jobs, 10 in parallel
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Timings: Avg: 14.403, Max: 15.78, Min: 13.19
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.403, Max: 15.78, Min: 13.19
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.403
Score: 14.403
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 28
Running with params: {'minibatch_size': 130, 'n': 1500}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_130_1500
Launching 30 jobs, 10 in parallel
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Timings: Avg: 15.018666666666666, Max: 16.810000000000002, Min: 13.51
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 15.018666666666666, Max: 16.810000000000002, Min: 13.51
Probability of fail : 0.0
All-Passed: True
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Runtime: 15.018666666666666
Score: 15.018666666666666
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 29
Running with params: {'minibatch_size': 270, 'n': 900}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_270_900
Launching 30 jobs, 10 in parallel
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Timings: Avg: 14.886000000000001, Max: 16.98, Min: 13.66
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.886000000000001, Max: 16.98, Min: 13.66
Probability of fail : 0.0
All-Passed: True
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Runtime: 14.886000000000001
Score: 14.886000000000001
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 30
Running with params: {'minibatch_size': 360, 'n': 200}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_360_200
Launching 30 jobs, 10 in parallel
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Timings: Avg: 15.120333333333331, Max: 16.16, Min: 13.330000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 15.120333333333331, Max: 16.16, Min: 13.330000000000002
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 15.120333333333331
Score: 15.120333333333331
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 31
Running with params: {'minibatch_size': 200, 'n': 400}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_200_400
Launching 30 jobs, 10 in parallel
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Timings: Avg: 14.817, Max: 16.17, Min: 13.35
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 14.817, Max: 16.17, Min: 13.35
Probability of fail : 0.0
All-Passed: True
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Runtime: 14.817
Score: 14.817
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 32
Running with params: {'minibatch_size': 100, 'n': 4300}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_100_4300
Launching 30 jobs, 10 in parallel
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Timings: Avg: 15.729666666666668, Max: 17.08, Min: 14.03
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 15.729666666666668, Max: 17.08, Min: 14.03
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 15.729666666666668
Score: 15.729666666666668
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 33
Running with params: {'minibatch_size': 240, 'n': 1700}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_240_1700
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Timings: Avg: 15.443, Max: 18.03, Min: 13.71
Passed tests : 30
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Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 15.443, Max: 18.03, Min: 13.71
Probability of fail : 0.0
All-Passed: True
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Runtime: 15.443
Score: 15.443
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 34
Running with params: {'minibatch_size': 440, 'n': 17900}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_440_17900
Launching 30 jobs, 10 in parallel
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Timings: Avg: 20.933666666666667, Max: 23.419999999999998, Min: 18.049999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 20.933666666666667, Max: 23.419999999999998, Min: 18.049999999999997
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 20.933666666666667
Score: 20.933666666666667
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 35
Running with params: {'minibatch_size': 230, 'n': 1000}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_230_1000
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Timings: Avg: 16.097, Max: 17.99, Min: 14.62
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 16.097, Max: 17.99, Min: 14.62
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 16.097
Score: 16.097
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 36
Running with params: {'minibatch_size': 290, 'n': 200}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_290_200
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Timings: Avg: 15.947, Max: 18.200000000000003, Min: 14.139999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 15.947, Max: 18.200000000000003, Min: 14.139999999999999
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 15.947
Score: 15.947
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 37
Running with params: {'minibatch_size': 410, 'n': 4400}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_410_4400
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Timings: Avg: 17.269666666666662, Max: 18.91, Min: 15.67
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 17.269666666666662, Max: 18.91, Min: 15.67
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 17.269666666666662
Score: 17.269666666666662
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 38
Running with params: {'minibatch_size': 360, 'n': 42800}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_360_42800
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Timings: Avg: 28.235999999999997, Max: 34.93, Min: 25.24
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 28.235999999999997, Max: 34.93, Min: 25.24
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.235999999999997
Score: 28.235999999999997
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 39
Running with params: {'minibatch_size': 280, 'n': 2100}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_280_2100
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Timings: Avg: 16.533333333333335, Max: 18.21, Min: 14.85
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 16.533333333333335, Max: 18.21, Min: 14.85
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 16.533333333333335
Score: 16.533333333333335
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 40
Running with params: {'minibatch_size': 110, 'n': 400}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_110_400
Launching 30 jobs, 10 in parallel
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Timings: Avg: 16.077666666666666, Max: 18.15, Min: 14.760000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 16.077666666666666, Max: 18.15, Min: 14.760000000000002
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 16.077666666666666
Score: 16.077666666666666
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 41
Running with params: {'minibatch_size': 150, 'n': 1300}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_150_1300
Launching 30 jobs, 10 in parallel
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Timings: Avg: 16.781, Max: 18.59, Min: 14.9
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 16.781, Max: 18.59, Min: 14.9
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 16.781
Score: 16.781
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 42
Running with params: {'minibatch_size': 340, 'n': 3200}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_340_3200
Launching 30 jobs, 10 in parallel
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Timings: Avg: 17.543999999999997, Max: 18.8, Min: 15.32
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 17.543999999999997, Max: 18.8, Min: 15.32
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 17.543999999999997
Score: 17.543999999999997
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 43
Running with params: {'minibatch_size': 100, 'n': 14800}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_100_14800
Launching 30 jobs, 10 in parallel
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Timings: Avg: 18.977, Max: 21.7, Min: 16.89
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 18.977, Max: 21.7, Min: 16.89
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 18.977
Score: 18.977
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 44
Running with params: {'minibatch_size': 190, 'n': 5500}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_190_5500
Launching 30 jobs, 10 in parallel
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Timings: Avg: 18.331666666666663, Max: 19.43, Min: 15.92
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 18.331666666666663, Max: 19.43, Min: 15.92
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 18.331666666666663
Score: 18.331666666666663
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 45
Running with params: {'minibatch_size': 500, 'n': 2200}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_500_2200
Launching 30 jobs, 10 in parallel
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Timings: Avg: 17.406333333333333, Max: 18.66, Min: 15.46
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 17.406333333333333, Max: 18.66, Min: 15.46
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 17.406333333333333
Score: 17.406333333333333
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Optimization Iteration: 46
Running with params: {'minibatch_size': 170, 'n': 26800}
Logdir: /mnt/batch/tasks/workitems/opt3/job-1/Task_pymc-learn_0_01_TestHierarchicalLogisticRegressionPredict/wd/borntobeflaky/tool/logs/optim_1599756258_pymc-learn/run_1599756258/assert_6704743_170_26800
Launching 30 jobs, 10 in parallel
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Timings: Avg: 23.600333333333335, Max: 26.26, Min: 20.36
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 23.600333333333335, Max: 26.26, Min: 20.36
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 23.600333333333335
Score: 23.600333333333335
Best-score: 11.646000000000004
Best-param: {'minibatch_size': 120, 'n': 2000}
Upto iteration 100: {'minibatch_size': 120.0, 'n': 2000.0}
Breaking...
{'minibatch_size': 120.0, 'n': 2000.0}
Best score: 11.646000000000004
Repeated params: 0
Trials: 47
Best param {'minibatch_size': 120.0, 'n': 2000.0}
Reduction: 57.23989376675191%
Speedup: 2.3386284275001423x
Optimizer time: 12727.77701473236
