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

Before Change

                "Majority learner does not support multiple classes")
        class_var = data.domain.class_var
        y = data.Y
        if isinstance(data.domain.class_var, data.ContinuousVariable):
            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)
            distr = np.asarray(distr, np.float)[:n_values]
            return DefaultClassifier(data.domain, distr=distr)


class DefaultClassifier(classification.Classifier):
    def __init__(self, value=None, distr=None):
        if value is None:
            mx = np.max(distr)

After Change

        y = data.Y
        w = data.W if data.W.shape[-1] != 0 else None
        assert np.issubdtype(y.dtype, int)

        n_values = data.domain.class_var.values()
        dist = np.bincount(y, w, minlength=n_values).astype(float)[:n_values]
        N = sum(dist)

Instances