get_borders

Return the list of borders for numerical features.

Method call format

get_borders()

Example

from catboost import CatBoostClassifier

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

model = CatBoostClassifier(loss_function='Logloss')
model.fit(train_data, train_labels, verbose=False)

print model.get_borders()
{0: [2.0, 6.0, 8.5], 1: [2.0]}