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Update workflow.py
/run
Pipeline started id=0a9a9b38-fc9c-4577-8e1a-3cd1d5ada45f, commit=400a634
Run Results
Workflow 0a9a9b38-fc9c-4577-8e1a-3cd1d5ada45f finished, status=Succeededclick the hyper links below to see detailed results
uid | start | state | name | results | artifacts |
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Jun 10 13:00:39 | completed | model-tester | total_tests=15 errors=0 match=14 avg_latency=7307 min_latency=5300 max_latency=8788 |
latency |
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Jun 10 13:00:28 | completed | test | rocauc=0.3333333333333333 avg_precscore=0.3673982494785104 accuracy=0.9333333333333333 f1_score=0.9333333333333333 |
roc confusion test_set_preds |
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Jun 10 13:00:12 | completed | train | best_iteration=2 rocauc=0.9945117845117846 accuracy=0.9705882352941176 f1_score=0.9705882352941176 |
test_set roc confusion model iteration_results |
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Jun 10 13:00:02 | completed | get-data | iris_dataset |
/run
Pipeline started id=11a7da59-48f1-40fe-8d19-9dbf9b2cf20c, commit=12432a6
Run Results
Workflow 11a7da59-48f1-40fe-8d19-9dbf9b2cf20c finished with 1 errors, status=Failedclick the hyper links below to see detailed results
uid | start | state | name | results | artifacts |
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Jun 10 23:46:38 | error |
test | |||
Jun 10 23:46:20 | completed | train | iteration_results |
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Jun 10 23:46:08 | completed | get-data | iris_dataset |
/run
Pipeline started id=7c81a55a-c57e-48ed-9ed5-78dc81f52fa9, commit=12432a6
Run Results
Workflow 7c81a55a-c57e-48ed-9ed5-78dc81f52fa9 finished, status=Succeededclick the hyper links below to see detailed results
uid | start | state | name | results | artifacts |
---|---|---|---|---|---|
Jun 10 23:52:51 | completed | model-tester | total_tests=15 errors=0 match=14 avg_latency=12531 min_latency=11974 max_latency=13549 |
latency |
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Jun 10 23:52:27 | completed | test | accuracy=0.9333333333333333 test-error=0.06666666666666667 auc-micro=0.9622222222222221 auc-weighted=0.9888888888888889 f1-score=0.9137254901960784 precision_score=0.8888888888888888 recall_score=0.9629629629629629 |
confusion-matrix feature-importances precision-recall-multiclass roc-multiclass test_set_preds |
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Jun 10 23:52:10 | completed | train | best_iteration=1 accuracy=0.9705882352941176 test-error=0.029411764705882353 auc-micro=0.9969723183391004 auc-weighted=0.9949732620320856 f1-score=0.9679633867276888 precision_score=0.9666666666666667 recall_score=0.9722222222222222 |
test_set confusion-matrix feature-importances precision-recall-multiclass roc-multiclass model iteration_results |
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Jun 10 23:51:58 | completed | get-data | iris_dataset |