def METHOD_NAME(self, X, y):
    """
    Fit the model with X and y.
    Parameters
    ----------
    X : Dask cuDF dataframe  or CuPy backed Dask Array (n_rows, n_features)
        Features for regression
    y : Dask cuDF dataframe  or CuPy backed Dask Array (n_rows, 1)
        Labels (outcome values)
    """
    models = self._fit(model_func=Ridge._create_model, data=(X, y))
    self._set_internal_model(models[0])
    return self