get_scale_and_bias

Return the scale and bias of the model.

These values affect the results of applying the model, since the model prediction results are calculated as follows:
leaf_valuesscale+bias\sum leaf\_values \cdot scale + bias

Method call format

get_scale_and_bias()

Type of return value

tuple

Examples

from catboost import CatBoostRegressor, Pool
import numpy as np

train_data = [[1, 4, 5, 6],
              [4, 5, 6, 7],
              [30, 40, 50, 60]]

eval_data = [[2, 4, 6, 8],
             [1, 4, 50, 60]]

train_labels = [10, 20, 30]

model = CatBoostRegressor()

print(model.get_scale_and_bias())

The output of this example:

(1.0, 0.0)