Method _train

mla/linear_models.py:83–85

(self)

        return np.concatenate([b, X], axis=1)

    def _train(self):
        self.theta, self.errors = self._gradient_descent()
        logging.info(" Theta: %s" % self.theta.flatten())

    def _predict(self, X=None):
        X = self._add_intercept(X)