to_classifier

Purpose

Convert a model of type CatBoost to a model of type CatBoostClassifier. The model can be converted if the loss function of the source model is compatible with the one of the resulting model.

Method call format

to_classifier(model)

Parameters

model

Description

The input CatBoost model for convert.

Possible types

catboost.core.CatBoost

Default value

Obligatory parameter

Type of return value

catboost.core.CatBoostClassifier

Example

from catboost import Pool, to_classifier, CatBoost

train_data = [[0, 3],
              [4, 1],
              [8, 1],
              [9, 1]]

train_labels = [0, 0, 1, 1]

model = CatBoost(params={'loss_function': 'Logloss'})

model.fit(train_data,
          train_labels,
          verbose=False)

print("Source model type: ", type(model))
converted_model = to_classifier(model)
print("Converted model type: ",  type(converted_model))

The output of this example:

('Source model type: ', <class 'catboost.core.CatBoost'>)
('Converted model type: ', <class 'catboost.core.CatBoostClassifier'>)