зеркало из https://github.com/microsoft/FLAML.git
5a74227bc3
* fix: Fixed bug where every underlying LGBMRegressor or LGBMClassifier had n_estimators = 1 * test: Added test showing case where FLAMLised CatBoostModel result isn't reproducible * fix: Fixing issue where callbacks cause LGBM results to not be reproducible * Update test/automl/test_regression.py Co-authored-by: Li Jiang <bnujli@gmail.com> * fix: Adding back the LGBM EarlyStopping * refactor: Fix tweaked to ensure other models aren't likely to be affected * test: Fixed test to allow reproduced results to be better than the FLAML results, when LGBM earlystopping is involved --------- Co-authored-by: Daniel Grindrod <Daniel.Grindrod@evotec.com> Co-authored-by: Li Jiang <bnujli@gmail.com> |
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| .. | ||
| contrib | ||
| nlp | ||
| spark | ||
| task | ||
| time_series | ||
| __init__.py | ||
| automl.py | ||
| data.py | ||
| logger.py | ||
| ml.py | ||
| model.py | ||
| state.py | ||
| training_log.py | ||