splearn/linear_model/base.py
def fit(self, Z):
        """
        Fit linear model.

        Parameters
        ----------
        Z : DictRDD with (X, y) values
            X containing numpy array or sparse matrix - The training data
            y containing the target values

        Returns
        -------
        self : returns an instance of self.
        """
        check_rdd(Z, {'X': (sp.spmatrix, np.ndarray)})
        return self._spark_fit(SparkLinearRegression, Z)
def fit(self, Z):
        """
        Fit linear model.

        Parameters
        ----------
        Z : DictRDD with (X, y) values
            X containing numpy array or sparse matrix - The training data
            y containing the target values

        Returns
        -------
        self : returns an instance of self.
        """
        check_rdd(Z, {'X': (sp.spmatrix, np.ndarray)})
        return self._spark_fit(SparkLinearRegression, Z)
Fit linear model.

        Parameters
        ----------
        Z : DictRDD with (X, y) values
            X containing numpy array or sparse matrix - The training data
            y containing the target values

        Returns
        -------
        self : returns an instance of self.