Package index • perpetual

Model Training

perpetual(): Train a PerpetualBooster model

Prediction and Interpretation

predict(<PerpetualBooster>): Predict using a PerpetualBooster model
print(<PerpetualBooster>): Print PerpetualBooster
perpetual_importance(): Get feature importance

Calibration

perpetual_calibrate(): Calibrate a PerpetualBooster model

Serialization

perpetual_save(): Save a PerpetualBooster model
perpetual_load(): Load a PerpetualBooster model
perpetual_to_json(): Dump model to JSON string

Model Inspection

perpetual_n_trees(): Get the number of trees in the model
perpetual_base_score(): Get the base score of the model