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(),
                                  self.selection, self.permute,
                                  self.termination,
                                  self.C, self.alpha, 1e12,
                                  self.max_iter, max_steps,
                                  self.shrinking, vinit,
                                  rs, tol, self.callback, self.n_calls,
                                  self.verbose)

                if self.warm_start and not k in self.violation_init_:
                    self.violation_init_[k] = viol

        if self.debiasing:
            nz = self.coef_ != 0

            if not self.warm_debiasing:

After Change

                                        self.C, self.alpha, 1e12,
                                        self.max_iter, max_steps,
                                        self.shrinking, vinit[k],
                                        rs, tol[k], self.callback, self.n_calls,
                                        self.verbose)
                    for k in xrange(n_vectors))
            viol = Parallel(n_jobs=self.n_jobs, verbose=self.verbose)(jobs)

            for k in range(n_vectors):

Instances