evalml.pipelines.CatBoostRegressionPipeline.predict

CatBoostRegressionPipeline.predict(X, objective=None)

Make predictions using selected features.

Parameters

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

• objective (Object or string) – the objective to use to make predictions

Returns

estimated labels

Return type

pd.Series