163eb7df13667e21b0e02a2706e18d1f53eee610,skrebate/iterrelief.py,IterRelief,fit,#IterRelief#Any#Any#,69

Before Change

        // Iterate till max iteration reached or all weights are really tiny
        while ((iteration < self.max_iter) & (any(w >= 0.0001 for w in distance_weights))):
            // Run Core Relief-based algorithm
            core_fit = core.fit(self.X_mat, self._y, distance_weights, self.weight_flag)

After Change

            core_fit = core.fit(self.X_mat, self._y, distance_weights, self.weight_flag)

            //reset distance_weights so that only previous run affects next one
            distance_weights = np.ones(total_num_features)

            // When all weights become 0, break
            if all(w == 0 for w in core_fit.feature_importances_):

Instances