7e0e9b744c1c307d3e42f8feae764ee090fad1ce,src/skmultiflow/meta/dynamic_weighted_majority.py,DynamicWeightedMajority,predict,#DynamicWeightedMajority#Any#,108

Before Change

        numpy.ndarray
            A numpy.ndarray with the label prediction for all the samples in X.
        
        return np.array([np.argmax(self.predict_proba(X))])

    def predict_proba(self, X):
         predict_proba

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)
        return np.sum(preds / sum_weights, axis=0, dtype=int)

    def predict_proba(self, X):

Instances