ea513c769acc1826e4a3179ae3ab519fcef63140,deslib/dcs/base.py,DCS,classify_instance,#DCS#Any#Any#,173

Before Change

        else:
            // Selected ensemble of classifiers is combined using Majority Voting
            indices = self.select(competences)
            votes = np.atleast_2d(predictions[indices])
            predicted_label = majority_voting_rule(votes)

        return predicted_label

After Change

        -------
        The predicted label of the query
        
        if query.ndim != predictions.ndim:
            raise ValueError("The arrays query and predictions must have the same shape. query.shape is {}"
                             "and predictions.shape is {}" .format(query.shape, predictions.shape))

        if query.ndim < 2:
            query = query.reshape(1, -1)
            predictions = predictions.reshape(1, -1)

        competences = self.estimate_competence(query, predictions=predictions)

Instances