088b10a9b6621472af54635e761bda0dd775836f,Orange/classification/majority.py,MajorityLearner,__call__,#MajorityLearner#Any#,8

Before Change

            return DefaultClassifier(data.domain, bn.nanmedian(y))
        else:
            n_values = data.domain.class_var.values()
            if y.dtype != int:
                nans = y.isnan()
                y = np.array(y, dtype=int)
                y[nans] = len(n_values)
            if data.W.shape[-1] == 0:
                distr = np.bincount(y, minlength=n_values)
            else:
                distr = np.bincount(y, data.W, minlength=n_values)

After Change

        if N > 0:
            dist /= sum(dist)
        else:
            dist.fill(1/len(dist))
        return ConstantClassifier(data.domain, dist=dist)


class ConstantClassifier(classification.Classifier):

Instances