Repo: pyro
Filename: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/projects/pyro/tests/integration_tests/test_conjugate_gaussian_models.py
ClassName: GaussianPyramidTests
Testname: test_elbo_reparameterized_four_layers
Params: param1,247,32,ParamType.ITER,20000
param2,247,39,ParamType.LR,0.0015
Assertion: assert_equal(0.0, max_log_sig_error, prec=0.04)
Original runtime: 812.343
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'param1': 20000, 'param2': 0.0015}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_20000_0.0015
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Timings: Avg: 791.5743333333332, Max: 817.05, Min: 777.75
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 791.5743333333332, Max: 817.05, Min: 777.75
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (5.010544670380001e-38) too small, using delta distribution
Variance (4.649284096875451e-40) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 791.5743333333332
Score: 791.5743333333332
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
>>Setting original runtime to 791.5743333333332
Optimization Iteration: 1
Running with params: {'param1': 4900, 'param2': 0.09762969919851049}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_4900_0.09762969919851049
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Timings: Avg: 195.2416666666667, Max: 203.63, Min: 191.76
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 2
Running with params: {'param1': 14500, 'param2': 0.00033511750777152633}
Lower learning rate.. returning... Best: 0.0015, Proposed: 0.00033511750777152633
Optimization Iteration: 3
Running with params: {'param1': 1600, 'param2': 0.005019075710899284}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_1600_0.005019075710899284
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Timings: Avg: 65.44, Max: 67.49000000000001, Min: 64.26
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 4
Running with params: {'param1': 400, 'param2': 0.02067160847007149}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_400_0.02067160847007149
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Timings: Avg: 18.16, Max: 18.470000000000002, Min: 17.84
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 5
Running with params: {'param1': 600, 'param2': 0.00023832404543822807}
Lower learning rate.. returning... Best: 0.0015, Proposed: 0.00023832404543822807
Optimization Iteration: 6
Running with params: {'param1': 200, 'param2': 0.001359826222248385}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_200_0.001359826222248385
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Timings: Avg: 10.162666666666668, Max: 10.36, Min: 9.92
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 7
Running with params: {'param1': 200, 'param2': 0.00015570822634613382}
Lower learning rate.. returning... Best: 0.0015, Proposed: 0.00015570822634613382
Optimization Iteration: 8
Running with params: {'param1': 1700, 'param2': 0.004798402805506084}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_1700_0.004798402805506084
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Timings: Avg: 69.22966666666666, Max: 71.39, Min: 67.86
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 9
Running with params: {'param1': 700, 'param2': 0.058756502271479945}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_700_0.058756502271479945
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Timings: Avg: 29.860666666666663, Max: 30.54, Min: 29.349999999999998
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 10
Running with params: {'param1': 800, 'param2': 0.004319662707379346}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_800_0.004319662707379346
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Timings: Avg: 33.985, Max: 34.96, Min: 33.4
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 11
Running with params: {'param1': 4500, 'param2': 0.0003795558870971325}
Lower learning rate.. returning... Best: 0.0015, Proposed: 0.0003795558870971325
Optimization Iteration: 12
Running with params: {'param1': 6400, 'param2': 0.07365529918513915}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_6400_0.07365529918513915
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Timings: Avg: 255.7393333333333, Max: 262.12, Min: 248.84
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 13
Running with params: {'param1': 1600, 'param2': 0.009560320854580055}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_1600_0.009560320854580055
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Timings: Avg: 65.41799999999999, Max: 67.74000000000001, Min: 64.17
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 14
Running with params: {'param1': 700, 'param2': 0.03834848149974753}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_700_0.03834848149974753
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Timings: Avg: 29.86433333333333, Max: 30.39, Min: 29.24
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 15
Running with params: {'param1': 200, 'param2': 0.0004965004133956914}
Lower learning rate.. returning... Best: 0.0015, Proposed: 0.0004965004133956914
Optimization Iteration: 16
Running with params: {'param1': 300, 'param2': 0.02408137938163506}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_300_0.02408137938163506
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Timings: Avg: 14.068999999999999, Max: 14.420000000000002, Min: 13.63
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 17
Running with params: {'param1': 18800, 'param2': 0.03185991272685744}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_18800_0.03185991272685744
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Timings: Avg: 744.3963333333334, Max: 766.59, Min: 728.41
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 18
Running with params: {'param1': 600, 'param2': 0.06745252602905856}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_600_0.06745252602905856
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Timings: Avg: 26.089666666666673, Max: 26.62, Min: 25.67
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 19
Running with params: {'param1': 100, 'param2': 0.0464206673196783}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_100_0.0464206673196783
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Timings: Avg: 6.299666666666666, Max: 6.41, Min: 6.14
Passed tests : 0
Failed tests : 30
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Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 20
Running with params: {'param1': 800, 'param2': 0.00035875155410840107}
Lower learning rate.. returning... Best: 0.0015, Proposed: 0.00035875155410840107
Optimization Iteration: 21
Running with params: {'param1': 3600, 'param2': 0.08923115677667975}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_3600_0.08923115677667975
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Timings: Avg: 145.11499999999998, Max: 149.56, Min: 142.15
Passed tests : 0
Failed tests : 30
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Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 791.5743333333332
Best-param: {'param1': 20000, 'param2': 0.0015}
Optimization Iteration: 22
Running with params: {'param1': 9600, 'param2': 0.011793220792579839}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_9600_0.011793220792579839
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Timings: Avg: 383.7433333333332, Max: 396.4, Min: 376.21
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 3.0
Continuing to next batch...
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Timings: Avg: 381.91999999999996, Max: 396.4, Min: 373.18
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 1.0
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 381.91999999999996, Max: 396.4, Min: 373.18
Variance (4.0123540508067415e-35) too small, using delta distribution
Variance (9.09171411964113e-39) too small, using delta distribution
Variance (3.604237105880628e-38) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 381.91999999999996
Score: 381.91999999999996
Best-score: 381.91999999999996
Best-param: {'param1': 9600, 'param2': 0.011793220792579839}
Optimization Iteration: 23
Running with params: {'param1': 8600, 'param2': 0.0013858456541796054}
Lower learning rate.. returning... Best: 0.011793220792579839, Proposed: 0.0013858456541796054
Optimization Iteration: 24
Running with params: {'param1': 3100, 'param2': 0.013222743933818065}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_3100_0.013222743933818065
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Timings: Avg: 124.65400000000001, Max: 129.04, Min: 122.31
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: 381.91999999999996
Best-param: {'param1': 9600, 'param2': 0.011793220792579839}
Optimization Iteration: 25
Running with params: {'param1': 12300, 'param2': 0.0020897640445409196}
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Optimization Iteration: 26
Running with params: {'param1': 8700, 'param2': 0.008917308056801973}
Lower learning rate.. returning... Best: 0.011793220792579839, Proposed: 0.008917308056801973
Optimization Iteration: 27
Running with params: {'param1': 2500, 'param2': 0.01675321271859519}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_2500_0.01675321271859519
Launching 30 jobs, 30 in parallel
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Timings: Avg: 101.329, Max: 104.2, Min: 98.96
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 381.91999999999996
Best-param: {'param1': 9600, 'param2': 0.011793220792579839}
Optimization Iteration: 28
Running with params: {'param1': 5400, 'param2': 0.0008436975973262383}
Lower learning rate.. returning... Best: 0.011793220792579839, Proposed: 0.0008436975973262383
Optimization Iteration: 29
Running with params: {'param1': 19300, 'param2': 0.0976343813665136}
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Optimization Iteration: 30
Running with params: {'param1': 12900, 'param2': 0.00798187312373001}
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Optimization Iteration: 31
Running with params: {'param1': 2400, 'param2': 0.00268622038187691}
Lower learning rate.. returning... Best: 0.011793220792579839, Proposed: 0.00268622038187691
Optimization Iteration: 32
Running with params: {'param1': 8600, 'param2': 0.023620645602894442}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_8600_0.023620645602894442
Launching 30 jobs, 30 in parallel
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Timings: Avg: 342.44, Max: 352.09999999999997, Min: 334.01
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.2326721054199772
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 341.80499999999995, Max: 352.09999999999997, Min: 333.98999999999995
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.767868896042439
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 341.80499999999995, Max: 352.09999999999997, Min: 333.98999999999995
Variance (3.009265538105056e-34) too small, using delta distribution
Variance (1.7738944437877582e-37) too small, using delta distribution
Variance (7.963974226820998e-38) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 341.80499999999995
Score: 341.80499999999995
Best-score: 341.80499999999995
Best-param: {'param1': 8600, 'param2': 0.023620645602894442}
Optimization Iteration: 33
Running with params: {'param1': 6600, 'param2': 0.012265960883796608}
Lower learning rate.. returning... Best: 0.023620645602894442, Proposed: 0.012265960883796608
Optimization Iteration: 34
Running with params: {'param1': 1100, 'param2': 0.0064346592438957}
Lower learning rate.. returning... Best: 0.023620645602894442, Proposed: 0.0064346592438957
Optimization Iteration: 35
Running with params: {'param1': 8400, 'param2': 0.02638470221865459}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_8400_0.02638470221865459
Launching 30 jobs, 30 in parallel
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Timings: Avg: 335.08900000000006, Max: 344.06, Min: 327.05
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.0
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 334.47116666666665, Max: 344.06, Min: 327.05
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.3934579081281724
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 333.733, Max: 344.06, Min: 326.34
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.9622504486493763
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 333.733, Max: 344.06, Min: 326.34
Variance (3.3436283756722846e-34) too small, using delta distribution
Variance (1.6221822041347568e-37) too small, using delta distribution
Variance (5.186868823003343e-38) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 333.733
Score: 333.733
Best-score: 333.733
Best-param: {'param1': 8400, 'param2': 0.02638470221865459}
Optimization Iteration: 36
Running with params: {'param1': 15100, 'param2': 0.027246750271269903}
Higher iteration... returning...
Optimization Iteration: 37
Running with params: {'param1': 4300, 'param2': 0.020508104586840294}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.020508104586840294
Optimization Iteration: 38
Running with params: {'param1': 2100, 'param2': 0.003286822389083777}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.003286822389083777
Optimization Iteration: 39
Running with params: {'param1': 7100, 'param2': 0.04870223663662505}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_7100_0.04870223663662505
Launching 30 jobs, 30 in parallel
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Timings: Avg: 280.98400000000004, Max: 290.54, Min: 276.34000000000003
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: 333.733
Best-param: {'param1': 8400, 'param2': 0.02638470221865459}
Optimization Iteration: 40
Running with params: {'param1': 1200, 'param2': 0.00010480502036516699}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.00010480502036516699
Optimization Iteration: 41
Running with params: {'param1': 11300, 'param2': 0.01719859273889916}
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Running with params: {'param1': 16300, 'param2': 0.006390668769105729}
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Optimization Iteration: 43
Running with params: {'param1': 3300, 'param2': 0.003903279193231033}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.003903279193231033
Optimization Iteration: 44
Running with params: {'param1': 5200, 'param2': 0.037785532941720656}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_5200_0.037785532941720656
Launching 30 jobs, 30 in parallel
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Timings: Avg: 207.442, Max: 214.51, Min: 203.84
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 333.733
Best-param: {'param1': 8400, 'param2': 0.02638470221865459}
Optimization Iteration: 45
Running with params: {'param1': 19500, 'param2': 0.0016434666408933886}
Higher iteration... returning...
Optimization Iteration: 46
Running with params: {'param1': 1800, 'param2': 0.05767280161184058}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_1800_0.05767280161184058
Launching 30 jobs, 30 in parallel
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Timings: Avg: 73.26266666666669, Max: 74.75, Min: 72.11
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: 333.733
Best-param: {'param1': 8400, 'param2': 0.02638470221865459}
Optimization Iteration: 47
Running with params: {'param1': 400, 'param2': 0.0006627191921779339}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.0006627191921779339
Optimization Iteration: 48
Running with params: {'param1': 4000, 'param2': 0.09873881878246721}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_4000_0.09873881878246721
Launching 30 jobs, 30 in parallel
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Timings: Avg: 159.80833333333334, Max: 164.79, Min: 156.70999999999998
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
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Score: 3.4028234663852886e+38
Best-score: 333.733
Best-param: {'param1': 8400, 'param2': 0.02638470221865459}
Optimization Iteration: 49
Running with params: {'param1': 10400, 'param2': 0.031990206738106576}
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Optimization Iteration: 50
Running with params: {'param1': 7000, 'param2': 0.000939463823161172}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.000939463823161172
Upto iteration 50: {'param1': 8400.0, 'param2': 0.02638470221865459}
Optimization Iteration: 51
Running with params: {'param1': 100, 'param2': 0.07506263738301563}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_100_0.07506263738301563
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.258333333333335, Max: 6.38, Min: 6.04
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 333.733
Best-param: {'param1': 8400, 'param2': 0.02638470221865459}
Optimization Iteration: 52
Running with params: {'param1': 2800, 'param2': 0.00611237389568806}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.00611237389568806
Optimization Iteration: 53
Running with params: {'param1': 5600, 'param2': 0.021695849961244813}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.021695849961244813
Optimization Iteration: 54
Running with params: {'param1': 1400, 'param2': 0.014864493239630468}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.014864493239630468
Optimization Iteration: 55
Running with params: {'param1': 1000, 'param2': 0.041423005861227755}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_1000_0.041423005861227755
Launching 30 jobs, 30 in parallel
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Timings: Avg: 41.75066666666666, Max: 43.059999999999995, Min: 40.96
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 333.733
Best-param: {'param1': 8400, 'param2': 0.02638470221865459}
Optimization Iteration: 56
Running with params: {'param1': 8200, 'param2': 0.0001725009742691105}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.0001725009742691105
Optimization Iteration: 57
Running with params: {'param1': 15800, 'param2': 0.004750572963980659}
Higher iteration... returning...
Optimization Iteration: 58
Running with params: {'param1': 400, 'param2': 0.009502816289698957}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.009502816289698957
Optimization Iteration: 59
Running with params: {'param1': 200, 'param2': 0.0026599981816205274}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.0026599981816205274
Optimization Iteration: 60
Running with params: {'param1': 2000, 'param2': 0.03135367077086998}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_2000_0.03135367077086998
Launching 30 jobs, 30 in parallel
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Timings: Avg: 81.21066666666667, Max: 83.58, Min: 79.60000000000001
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: 333.733
Best-param: {'param1': 8400, 'param2': 0.02638470221865459}
Optimization Iteration: 61
Running with params: {'param1': 13100, 'param2': 0.05748905986484501}
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Optimization Iteration: 62
Running with params: {'param1': 4600, 'param2': 0.010890824505112928}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.010890824505112928
Optimization Iteration: 63
Running with params: {'param1': 9800, 'param2': 0.07510062260796439}
Higher iteration... returning...
Optimization Iteration: 64
Running with params: {'param1': 500, 'param2': 0.0019071367189339538}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.0019071367189339538
Optimization Iteration: 65
Running with params: {'param1': 1500, 'param2': 0.008161249296571242}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.008161249296571242
Optimization Iteration: 66
Running with params: {'param1': 5900, 'param2': 0.017858918195396138}
Lower learning rate.. returning... Best: 0.02638470221865459, Proposed: 0.017858918195396138
Optimization Iteration: 67
Running with params: {'param1': 8300, 'param2': 0.026878962600352944}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_8300_0.026878962600352944
Launching 30 jobs, 30 in parallel
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Timings: Avg: 331.9296666666666, Max: 345.55, Min: 322.71000000000004
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 1.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 331.9296666666666, Max: 345.55, Min: 322.71000000000004
Variance (5.175936725540696e-35) too small, using delta distribution
Variance (2.2628266253329035e-37) too small, using delta distribution
Variance (1.2381873828661428e-37) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 331.9296666666666
Score: 331.9296666666666
Best-score: 331.9296666666666
Best-param: {'param1': 8300, 'param2': 0.026878962600352944}
Optimization Iteration: 68
Running with params: {'param1': 3900, 'param2': 0.02683892916724294}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_3900_0.02683892916724294
Launching 30 jobs, 30 in parallel
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Timings: Avg: 156.38166666666666, Max: 161.32, Min: 153.2
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: 331.9296666666666
Best-param: {'param1': 8300, 'param2': 0.026878962600352944}
Optimization Iteration: 69
Running with params: {'param1': 17400, 'param2': 0.022525877460736584}
Higher iteration... returning...
Optimization Iteration: 70
Running with params: {'param1': 8300, 'param2': 0.013660077367365032}
Lower learning rate.. returning... Best: 0.026878962600352944, Proposed: 0.013660077367365032
Optimization Iteration: 71
Running with params: {'param1': 7400, 'param2': 0.04832718693944074}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_7400_0.04832718693944074
Launching 30 jobs, 30 in parallel
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Timings: Avg: 293.773, Max: 302.27000000000004, Min: 286.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 1.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 293.773, Max: 302.27000000000004, Min: 286.61
Variance (8.666684749742562e-35) too small, using delta distribution
Variance (1.0910056943569356e-37) too small, using delta distribution
Variance (1.3163087782645408e-38) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 293.773
Score: 293.773
Best-score: 293.773
Best-param: {'param1': 7400, 'param2': 0.04832718693944074}
Optimization Iteration: 72
Running with params: {'param1': 2800, 'param2': 0.0437544843963072}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_2800_0.0437544843963072
Launching 30 jobs, 30 in parallel
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Timings: Avg: 113.20800000000001, Max: 117.26, Min: 110.22000000000001
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: 293.773
Best-param: {'param1': 7400, 'param2': 0.04832718693944074}
Optimization Iteration: 73
Running with params: {'param1': 14100, 'param2': 0.08444914273878776}
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Optimization Iteration: 74
Running with params: {'param1': 4600, 'param2': 0.053425735311291474}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_4600_0.053425735311291474
Launching 30 jobs, 30 in parallel
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Timings: Avg: 182.6446666666666, Max: 187.13, Min: 180.24
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: 293.773
Best-param: {'param1': 7400, 'param2': 0.04832718693944074}
Optimization Iteration: 75
Running with params: {'param1': 11700, 'param2': 0.06837630195821337}
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Optimization Iteration: 76
Running with params: {'param1': 7400, 'param2': 0.030784962907047467}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.030784962907047467
Optimization Iteration: 77
Running with params: {'param1': 3200, 'param2': 0.03646963606518481}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.03646963606518481
Optimization Iteration: 78
Running with params: {'param1': 6000, 'param2': 0.00025904166922610715}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.00025904166922610715
Optimization Iteration: 79
Running with params: {'param1': 2300, 'param2': 0.018684430781917418}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.018684430781917418
Optimization Iteration: 80
Running with params: {'param1': 3700, 'param2': 0.007068355827783064}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.007068355827783064
Optimization Iteration: 81
Running with params: {'param1': 10600, 'param2': 0.015958623665098298}
Higher iteration... returning...
Optimization Iteration: 82
Running with params: {'param1': 17700, 'param2': 0.005488011142173321}
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Optimization Iteration: 83
Running with params: {'param1': 19900, 'param2': 0.003698290870252193}
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Optimization Iteration: 84
Running with params: {'param1': 5100, 'param2': 0.02712678250231868}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.02712678250231868
Optimization Iteration: 85
Running with params: {'param1': 900, 'param2': 0.049375684775583385}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_900_0.049375684775583385
Launching 30 jobs, 30 in parallel
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Timings: Avg: 37.87800000000001, Max: 39.12, Min: 37.07
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: 293.773
Best-param: {'param1': 7400, 'param2': 0.04832718693944074}
Optimization Iteration: 86
Running with params: {'param1': 7700, 'param2': 0.08305319571385703}
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Optimization Iteration: 88
Running with params: {'param1': 1300, 'param2': 0.009958814676331609}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.009958814676331609
Optimization Iteration: 89
Running with params: {'param1': 6500, 'param2': 0.011882625350613706}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.011882625350613706
Optimization Iteration: 90
Running with params: {'param1': 14100, 'param2': 0.06166121153683983}
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Optimization Iteration: 91
Running with params: {'param1': 2000, 'param2': 0.03519990848389275}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.03519990848389275
Optimization Iteration: 92
Running with params: {'param1': 2800, 'param2': 0.0004741291837269085}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.0004741291837269085
Optimization Iteration: 93
Running with params: {'param1': 1700, 'param2': 0.014278104152496947}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.014278104152496947
Optimization Iteration: 94
Running with params: {'param1': 11600, 'param2': 0.04265849168630109}
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Optimization Iteration: 95
Running with params: {'param1': 300, 'param2': 0.00281863243047233}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.00281863243047233
Optimization Iteration: 96
Running with params: {'param1': 4200, 'param2': 0.020599042175278248}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.020599042175278248
Optimization Iteration: 97
Running with params: {'param1': 3400, 'param2': 0.02515537573283245}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.02515537573283245
Optimization Iteration: 98
Running with params: {'param1': 13000, 'param2': 0.0010110753683028784}
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Optimization Iteration: 100
Running with params: {'param1': 6200, 'param2': 0.008267698698200973}
Lower learning rate.. returning... Best: 0.04832718693944074, Proposed: 0.008267698698200973
Upto iteration 100: {'param1': 7400.0, 'param2': 0.04832718693944074}
Optimization Iteration: 101
Running with params: {'param1': 5100, 'param2': 0.062499559837023023}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_5100_0.062499559837023023
Launching 30 jobs, 30 in parallel
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Timings: Avg: 204.39000000000001, Max: 210.08, Min: 199.14000000000001
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.121320343559643
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 203.93066666666664, Max: 210.08, Min: 198.54999999999998
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.17395228148298
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 203.71166666666662, Max: 210.08, Min: 198.54999999999998
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.9179850920431568
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 203.71166666666662, Max: 210.08, Min: 198.54999999999998
Variance (1.257204269252779e-33) too small, using delta distribution
Variance (3.291384182302405e-37) too small, using delta distribution
Variance (7.141128181245397e-38) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 203.71166666666662
Score: 203.71166666666662
Best-score: 203.71166666666662
Best-param: {'param1': 5100, 'param2': 0.062499559837023023}
Optimization Iteration: 102
Running with params: {'param1': 4800, 'param2': 0.00010099157824442165}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.00010099157824442165
Optimization Iteration: 103
Running with params: {'param1': 2500, 'param2': 0.09381260756695976}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_2500_0.09381260756695976
Launching 30 jobs, 30 in parallel
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Timings: Avg: 101.25833333333331, Max: 103.9, Min: 99.25
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: 203.71166666666662
Best-param: {'param1': 5100, 'param2': 0.062499559837023023}
Optimization Iteration: 104
Running with params: {'param1': 16000, 'param2': 0.06473960331196187}
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Running with params: {'param1': 600, 'param2': 0.05173014222057339}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.05173014222057339
Optimization Iteration: 106
Running with params: {'param1': 5500, 'param2': 0.07837109832997124}
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Optimization Iteration: 107
Running with params: {'param1': 2200, 'param2': 0.0012388954613639577}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.0012388954613639577
Optimization Iteration: 108
Running with params: {'param1': 3000, 'param2': 0.004957675414969325}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.004957675414969325
Optimization Iteration: 109
Running with params: {'param1': 100, 'param2': 0.03253788732757674}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.03253788732757674
Optimization Iteration: 110
Running with params: {'param1': 7100, 'param2': 0.03764311022773196}
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Optimization Iteration: 111
Running with params: {'param1': 700, 'param2': 0.010753541527910505}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.010753541527910505
Optimization Iteration: 112
Running with params: {'param1': 3900, 'param2': 0.007021994405578917}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.007021994405578917
Optimization Iteration: 113
Running with params: {'param1': 1900, 'param2': 0.019309113393498722}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.019309113393498722
Optimization Iteration: 114
Running with params: {'param1': 2500, 'param2': 0.0999009538931928}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_2500_0.0999009538931928
Launching 30 jobs, 30 in parallel
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Timings: Avg: 101.10833333333333, Max: 104.42999999999999, Min: 99.45
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: 203.71166666666662
Best-param: {'param1': 5100, 'param2': 0.062499559837023023}
Optimization Iteration: 115
Running with params: {'param1': 1100, 'param2': 0.002261244131722563}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.002261244131722563
Optimization Iteration: 116
Running with params: {'param1': 10800, 'param2': 0.05748775280002028}
Higher iteration... returning...
Optimization Iteration: 117
Running with params: {'param1': 1500, 'param2': 0.043913878884514077}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.043913878884514077
Optimization Iteration: 118
Running with params: {'param1': 9200, 'param2': 0.07087128180474891}
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Optimization Iteration: 119
Running with params: {'param1': 7900, 'param2': 0.00015399654427574299}
Higher iteration... returning...
Optimization Iteration: 120
Running with params: {'param1': 3600, 'param2': 0.029938425033890697}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.029938425033890697
Optimization Iteration: 121
Running with params: {'param1': 17700, 'param2': 0.0006580715527487946}
Higher iteration... returning...
Optimization Iteration: 122
Running with params: {'param1': 800, 'param2': 0.02270935072304081}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.02270935072304081
Optimization Iteration: 123
Running with params: {'param1': 5000, 'param2': 0.0477396797150351}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.0477396797150351
Optimization Iteration: 124
Running with params: {'param1': 4200, 'param2': 0.016377782113215736}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.016377782113215736
Optimization Iteration: 125
Running with params: {'param1': 12900, 'param2': 0.0034385876885537235}
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Running with params: {'param1': 19900, 'param2': 0.08703541365516775}
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Optimization Iteration: 127
Running with params: {'param1': 6500, 'param2': 0.01274557620494133}
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Optimization Iteration: 128
Running with params: {'param1': 1700, 'param2': 0.00569818885390368}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.00569818885390368
Optimization Iteration: 129
Running with params: {'param1': 14700, 'param2': 0.06470059567628905}
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Optimization Iteration: 130
Running with params: {'param1': 200, 'param2': 0.038825378319773306}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.038825378319773306
Optimization Iteration: 131
Running with params: {'param1': 5600, 'param2': 0.009228987640918517}
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Optimization Iteration: 132
Running with params: {'param1': 3200, 'param2': 0.02878575966226627}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.02878575966226627
Optimization Iteration: 133
Running with params: {'param1': 300, 'param2': 0.02454427072404876}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.02454427072404876
Optimization Iteration: 134
Running with params: {'param1': 1300, 'param2': 0.0016587681255207504}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.0016587681255207504
Optimization Iteration: 135
Running with params: {'param1': 11900, 'param2': 0.053280755812770884}
Higher iteration... returning...
Optimization Iteration: 136
Running with params: {'param1': 2700, 'param2': 0.00715414421692784}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.00715414421692784
Optimization Iteration: 137
Running with params: {'param1': 500, 'param2': 0.014601548168876434}
Lower learning rate.. returning... Best: 0.062499559837023023, Proposed: 0.014601548168876434
Optimization Iteration: 138
Running with params: {'param1': 7100, 'param2': 0.00451531136761628}
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Optimization Iteration: 139
Running with params: {'param1': 8800, 'param2': 0.018331144235190704}
Higher iteration... returning...
Optimization Iteration: 140
Running with params: {'param1': 9800, 'param2': 0.00028092559214895873}
Higher iteration... returning...
Optimization Iteration: 141
Running with params: {'param1': 4300, 'param2': 0.07603552018501554}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_4300_0.07603552018501554
Launching 30 jobs, 30 in parallel
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Timings: Avg: 171.7003333333333, Max: 177.54, Min: 167.85
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 3.162277660168379
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 171.83033333333333, Max: 177.87, Min: 167.85
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.7453559924999299
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 171.83033333333333, Max: 177.87, Min: 167.85
Variance (6.018531076210112e-35) too small, using delta distribution
Variance (7.585856877306495e-37) too small, using delta distribution
Variance (1.0285575569695016e-38) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 171.83033333333333
Score: 171.83033333333333
Best-score: 171.83033333333333
Best-param: {'param1': 4300, 'param2': 0.07603552018501554}
Optimization Iteration: 142
Running with params: {'param1': 4500, 'param2': 0.08212493565638826}
Higher iteration... returning...
Optimization Iteration: 143
Running with params: {'param1': 3600, 'param2': 0.09721720300402306}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597897625/assert_64542582_3600_0.09721720300402306
Launching 30 jobs, 30 in parallel
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Timings: Avg: 144.1906666666667, Max: 151.17, Min: 141.67
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: 171.83033333333333
Best-param: {'param1': 4300, 'param2': 0.07603552018501554}
Optimization Iteration: 144
Running with params: {'param1': 2200, 'param2': 0.00017075598312734432}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.00017075598312734432
Optimization Iteration: 145
Running with params: {'param1': 1000, 'param2': 0.059477884934661225}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.059477884934661225
Optimization Iteration: 146
Running with params: {'param1': 6000, 'param2': 0.06981076757072306}
Higher iteration... returning...
Optimization Iteration: 147
Running with params: {'param1': 5100, 'param2': 0.032981999358909136}
Higher iteration... returning...
Optimization Iteration: 148
Running with params: {'param1': 7700, 'param2': 0.04505393031753539}
Higher iteration... returning...
Optimization Iteration: 149
Running with params: {'param1': 6500, 'param2': 0.038165849913287295}
Higher iteration... returning...
Optimization Iteration: 150
Running with params: {'param1': 10700, 'param2': 0.0744284312257862}
Higher iteration... returning...
Upto iteration 150: {'param1': 4300.0, 'param2': 0.07603552018501554}
Optimization Iteration: 151
Running with params: {'param1': 2900, 'param2': 0.04975890475798654}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.04975890475798654
Optimization Iteration: 152
Running with params: {'param1': 4400, 'param2': 0.026664684537765996}
Higher iteration... returning...
Optimization Iteration: 153
Running with params: {'param1': 8600, 'param2': 0.022341611976218177}
Higher iteration... returning...
Optimization Iteration: 154
Running with params: {'param1': 3300, 'param2': 0.010974482090977716}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.010974482090977716
Optimization Iteration: 155
Running with params: {'param1': 14100, 'param2': 0.09202623230026839}
Higher iteration... returning...
Optimization Iteration: 156
Running with params: {'param1': 4000, 'param2': 0.05929640385499514}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.05929640385499514
Optimization Iteration: 157
Running with params: {'param1': 5700, 'param2': 0.04182262813703744}
Higher iteration... returning...
Optimization Iteration: 158
Running with params: {'param1': 17600, 'param2': 0.03486688061178408}
Higher iteration... returning...
Optimization Iteration: 159
Running with params: {'param1': 2600, 'param2': 0.020103814540309316}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.020103814540309316
Optimization Iteration: 160
Running with params: {'param1': 4900, 'param2': 0.07856677312223559}
Higher iteration... returning...
Optimization Iteration: 161
Running with params: {'param1': 10100, 'param2': 0.028198225635539597}
Higher iteration... returning...
Optimization Iteration: 162
Running with params: {'param1': 1900, 'param2': 0.01298736695149183}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.01298736695149183
Optimization Iteration: 163
Running with params: {'param1': 15900, 'param2': 0.01533379617429343}
Higher iteration... returning...
Optimization Iteration: 164
Running with params: {'param1': 12200, 'param2': 0.09884118858580444}
Higher iteration... returning...
Optimization Iteration: 165
Running with params: {'param1': 6800, 'param2': 0.06823723587937963}
Higher iteration... returning...
Optimization Iteration: 166
Running with params: {'param1': 3600, 'param2': 0.05564434014257919}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.05564434014257919
Optimization Iteration: 167
Running with params: {'param1': 7700, 'param2': 0.04866808289312931}
Higher iteration... returning...
Optimization Iteration: 168
Running with params: {'param1': 2400, 'param2': 0.03332760117862182}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.03332760117862182
Optimization Iteration: 169
Running with params: {'param1': 3000, 'param2': 0.02480733372630884}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.02480733372630884
Optimization Iteration: 170
Running with params: {'param1': 5200, 'param2': 0.08507942129874835}
Higher iteration... returning...
Optimization Iteration: 171
Running with params: {'param1': 1500, 'param2': 0.00042175235892740056}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.00042175235892740056
Optimization Iteration: 172
Running with params: {'param1': 19900, 'param2': 0.01758382925257492}
Higher iteration... returning...
Optimization Iteration: 173
Running with params: {'param1': 9100, 'param2': 0.002403712554280355}
Higher iteration... returning...
Optimization Iteration: 174
Running with params: {'param1': 13700, 'param2': 0.04186043786845364}
Higher iteration... returning...
Optimization Iteration: 175
Running with params: {'param1': 4500, 'param2': 0.020857900185246032}
Higher iteration... returning...
Optimization Iteration: 176
Running with params: {'param1': 5900, 'param2': 0.09919403671581864}
Higher iteration... returning...
Optimization Iteration: 177
Running with params: {'param1': 4000, 'param2': 0.00913234870461357}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.00913234870461357
Optimization Iteration: 178
Running with params: {'param1': 11400, 'param2': 0.060752862872886775}
Higher iteration... returning...
Optimization Iteration: 179
Running with params: {'param1': 8300, 'param2': 0.0716046874288282}
Higher iteration... returning...
Optimization Iteration: 180
Running with params: {'param1': 2200, 'param2': 0.0031546789317662516}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.0031546789317662516
Optimization Iteration: 181
Running with params: {'param1': 1300, 'param2': 0.03743422259373623}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.03743422259373623
Optimization Iteration: 182
Running with params: {'param1': 7200, 'param2': 0.0011908816803432082}
Higher iteration... returning...
Optimization Iteration: 183
Running with params: {'param1': 15500, 'param2': 0.051879774371416554}
Higher iteration... returning...
Optimization Iteration: 184
Running with params: {'param1': 3400, 'param2': 0.0006516855623722291}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.0006516855623722291
Optimization Iteration: 185
Running with params: {'param1': 6500, 'param2': 0.0001165439344832947}
Higher iteration... returning...
Optimization Iteration: 186
Running with params: {'param1': 9800, 'param2': 0.02922628455776841}
Higher iteration... returning...
Optimization Iteration: 187
Running with params: {'param1': 1600, 'param2': 0.00798342205160721}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.00798342205160721
Optimization Iteration: 188
Running with params: {'param1': 12500, 'param2': 0.0018425159734868132}
Higher iteration... returning...
Optimization Iteration: 189
Running with params: {'param1': 5300, 'param2': 0.08634284832155725}
Higher iteration... returning...
Optimization Iteration: 190
Running with params: {'param1': 1800, 'param2': 0.04439667124643005}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.04439667124643005
Optimization Iteration: 191
Running with params: {'param1': 900, 'param2': 0.011506595197314359}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.011506595197314359
Optimization Iteration: 192
Running with params: {'param1': 1100, 'param2': 0.016463462538123072}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.016463462538123072
Optimization Iteration: 193
Running with params: {'param1': 2100, 'param2': 0.023012581735279022}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.023012581735279022
Optimization Iteration: 194
Running with params: {'param1': 4800, 'param2': 0.09985100062106361}
Higher iteration... returning...
Optimization Iteration: 195
Running with params: {'param1': 18200, 'param2': 0.013575414055268631}
Higher iteration... returning...
Optimization Iteration: 196
Running with params: {'param1': 100, 'param2': 0.005664664286816706}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.005664664286816706
Optimization Iteration: 197
Running with params: {'param1': 10800, 'param2': 0.06599389361146686}
Higher iteration... returning...
Optimization Iteration: 198
Running with params: {'param1': 3100, 'param2': 0.032219719803297305}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.032219719803297305
Optimization Iteration: 199
Running with params: {'param1': 7700, 'param2': 0.006588118561525364}
Higher iteration... returning...
Optimization Iteration: 200
Running with params: {'param1': 2600, 'param2': 0.0540471016265364}
Lower learning rate.. returning... Best: 0.07603552018501554, Proposed: 0.0540471016265364
Upto iteration 200: {'param1': 4300.0, 'param2': 0.07603552018501554}
Breaking...
{'param1': 4300.0, 'param2': 0.07603552018501554}
Best score: 171.83033333333333
Repeated params: 0
Trials: 201
Best param {'param1': 4300.0, 'param2': 0.07603552018501554}
Reduction: 78.29258401927298%
Speedup: 4.606720582900574x
Optimizer time: 8717.822961330414
