evalml.pipelines.components.ARIMARegressor.predict¶

ARIMARegressor.predict(X, y=None)[source]¶

Make predictions using selected features.

Parameters: X (ww.DataTable, pd.DataFrame, or np.ndarray) – Data of shape [n_samples, n_features]
Returns: Predicted values
Return type: ww.DataColumn

evalml.pipelines.components.ARIMARegressor.load evalml.pipelines.components.ARIMARegressor.predict_proba