Object importances
Choose the implementation for more details.
Class | Class purpose | Method |
---|---|---|
CatBoost | Training and applying models. | get_object_importance |
CatBoostClassifier | Training and applying models for the classification problems. Provides compatibility with the scikit-learn tools. | get_object_importance |
CatBoostRegressor | Training and applying models for the regression problems. When using the applying methods only the predicted class is returned. Provides compatibility with the scikit-learn tools. | get_object_importance |
Class | Class purpose | Method |
---|---|---|
CatBoost | Training and applying models. | get_object_importance |
CatBoostClassifier | Training and applying models for the classification problems. Provides compatibility with the scikit-learn tools. | get_object_importance |
CatBoostRegressor | Training and applying models for the regression problems. When using the applying methods only the predicted class is returned. Provides compatibility with the scikit-learn tools. | get_object_importance |
Method | Purpose |
---|---|
catboost.get_object_importance | Calculate the effect of objects from the train dataset on the optimized metric values for the objects from the input dataset:
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Method | Purpose |
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catboost.get_object_importance | Calculate the effect of objects from the train dataset on the optimized metric values for the objects from the input dataset:
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Command | Purpose |
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catboost ostr | Calculate the effect of objects from the training dataset on the optimized metric values for the objects from the validation dataset:
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Command | Purpose |
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catboost ostr | Calculate the effect of objects from the training dataset on the optimized metric values for the objects from the validation dataset:
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