Attributes
Attribute: tree_count
Description
Return the number of trees in the model.
This number can differ from the value specified in the --iterations
training parameter in the following cases:
- The training is stopped by the overfitting detector.
- The
--use-best-model
training parameter is set toTrue
.
Attribute: feature_importances
Description
Return the calculated feature importances. The output data depends on the type of the model's loss function:
- Non-ranking loss functions — PredictionValuesChange
- Ranking loss functions — LossFunctionChange