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]}