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microsoft / lightgbm-benchmark

Benchmark tools for LightGBM
MIT License
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Implement classic AzureML log reporting class (as backup) #228

Closed jfomhover closed 2 years ago

jfomhover commented 2 years ago

For prod environment where mlflow would not work due to compliance requirements, AzureML Run log methods could still be applied.

This PR re-implements the MetricsLogger class to use AzureML Run instead of MLFlow, with a parameter switch to instantiate the right "driver".

github-actions[bot] commented 2 years ago

Unit Test Results for Build

    1 files  ±0      1 suites  ±0   1m 6s :stopwatch: +2s 106 tests ±0  106 :heavy_check_mark: ±0  0 :zzz: ±0  0 :x: ±0 

Results for commit c0f59e17. ± Comparison against base commit 03a3f2d2.

:recycle: This comment has been updated with latest results.

github-actions[bot] commented 2 years ago

Code Coverage

Package Line Rate Branch Rate Complexity
common 83% 0% 0
pipelines.azureml 83% 0% 0
scripts 100% 0% 0
scripts.data_processing.generate_data 92% 0% 0
scripts.data_processing.lightgbm_data2bin 95% 0% 0
scripts.data_processing.partition_data 92% 0% 0
scripts.inferencing.custom_win_cli 94% 0% 0
scripts.inferencing.lightgbm_c_api 75% 0% 0
scripts.inferencing.lightgbm_python 95% 0% 0
scripts.inferencing.lightgbm_ray 95% 0% 0
scripts.inferencing.treelite_python 94% 0% 0
scripts.model_transformation.treelite_compile 92% 0% 0
scripts.sample 93% 0% 0
scripts.training.lightgbm_python 77% 0% 0
Summary 85% (1766 / 2084) 0% (0 / 0) 0