get_borders

Return the list of borders for numerical features.

Method call format

get_borders()

Example

from catboost import CatBoost

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

train_labels = [10, 20, 30]

model = CatBoost()

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

print(model.get_borders())
Output:
{0: [2.5, 17.0], 1: [4.5, 22.5], 2: [5.5, 28.0], 3: [6.5, 33.5]}