evalml.pipelines.components.CatBoostRegressor.fit

CatBoostRegressor.fit(X, y=None)[source]

Build a model

Parameters

  • X (pd.DataFrame or np.array) – the input training data of shape [n_samples, n_features]

  • y (pd.Series) – the target training labels of length [n_samples]

Returns

self

evalml.pipelines.components.CatBoostRegressor.describe evalml.pipelines.components.CatBoostRegressor.predict