f7d9e3d162
### What changes were proposed in this pull request? Add summary to RandomForestClassificationModel... ### Why are the changes needed? so user can get a summary of this classification model, and retrieve common metrics such as accuracy, weightedTruePositiveRate, roc (for binary), pr curves (for binary), etc. ### Does this PR introduce _any_ user-facing change? Yes ``` RandomForestClassificationModel.summary RandomForestClassificationModel.evaluate ``` ### How was this patch tested? Add new tests Closes #28913 from huaxingao/rf_summary. Authored-by: Huaxin Gao <huaxing@us.ibm.com> Signed-off-by: Sean Owen <srowen@gmail.com> |
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.. | ||
__init__.py | ||
test_algorithms.py | ||
test_base.py | ||
test_evaluation.py | ||
test_feature.py | ||
test_image.py | ||
test_linalg.py | ||
test_param.py | ||
test_persistence.py | ||
test_pipeline.py | ||
test_stat.py | ||
test_training_summary.py | ||
test_tuning.py | ||
test_wrapper.py |