Top 5 scikit-learn Code Examples

def __init__(self, loss="hinge", penalty='l2', alpha=0.0001, l1_ratio=0.15,
                 fit_intercept=True, n_iter=5, shuffle=True, verbose=0,
                 epsilon=DEFAULT_EPSILON, n_jobs=1, random_state=None,
                 learning_rate="optimal", eta0=0.0, power_t=0.5,
                 class_weight=None, warm_start=False, average=False):
        super(SGDClassifier, self).__init__(
            loss=loss, penalty=penalty, alpha=alpha, l1_ratio=l1_ratio,
            fit_intercept=fit_intercept, n_iter=n_iter, shuffle=shuffle,
            verbose=verbose, epsilon=epsilon, n_jobs=n_jobs,
            random_state=random_state, learning_rate=learning_rate, eta0=eta0,
            power_t=power_t, class_weight=class_weight, warm_start=warm_start,
            average=average)