25723006dbd088a24215b23242e55d06e12afd8e,src/skmultiflow/meta/additive_expert_ensemble.py,AdditiveExpertEnsemble,predict,#AdditiveExpertEnsemble#Any#,66

Before Change

        self.n_samples += X.shape[0]

    def predict(self, X):
        return np.array([np.argmax(self.predict_proba(X))])

    def predict_proba(self, X):
        return self._aggregate_expert_predictions(

After Change

        numpy.ndarray
            A numpy.ndarray with the label prediction for all the samples in X.
        
        preds = np.array([np.array(exp.estimator.predict(X)) * exp.weight
                          for exp in self.experts])
        sum_weights = sum(exp.weight for exp in self.experts)
        aggregate = np.sum(preds / sum_weights, axis=0)
        return (aggregate + 0.5).astype(int)    // Round to nearest int

    def predict_proba(self, X):
        raise NotImplementedError

Instances