382471c62800d7c80673ef22552b6460124ccc2d,lightning/impl/primal_cd.py,CDClassifier,fit,#CDClassifier#,223

Before Change

        elif self.penalty in ("l1", "l2", "nn"):
            penalty = self._get_penalty()
            for k in xrange(n_vectors):
                n_pos = np.sum(Y[:, k] == 1)
                n_neg = n_samples - n_pos
                tol = self.tol * max(min(n_pos, n_neg), 1) / n_samples

                vinit = self.violation_init_.get(k, 0) * self.C / self.C_init
                viol = _primal_cd(self, self.coef_, self.errors_,
                                  ds, y, Y, k, False,
                                  indices, penalty, self._get_loss(),

After Change

        elif self.penalty in ("l1", "l2", "nn"):
            penalty = self._get_penalty()
            n_pos = np.asarray([np.sum(Y[:, k] == 1) for k in xrange(n_vectors)])
            n_neg = n_samples - n_pos
            tol = self.tol * np.maximum(np.minimum(n_pos, n_neg), 1) / n_samples
            vinit = np.asarray([self.violation_init_.get(k, 0)
                                for k in xrange(n_vectors)]) * self.C / self.C_init

            jobs = (delayed(_primal_cd)(self, self.coef_, self.errors_,

Instances