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):
        check_rdd(Z, {'X': (sp.spmatrix, np.ndarray)})
        return self._spark_fit(SparkLinearRegression, Z)
def fit ( self , Z ) : 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.
Fit linear model .