abd0f7b5564e51a412bb7f85e040985d14eb0a4e,src/skmultiflow/trees/hoeffding_tree.py,HoeffdingTree,predict_proba,#HoeffdingTree#Any#,1076

Before Change

                for key, value in votes.items():
                    y_proba[int(key)] = value
                predictions.append(y_proba)
        return np.array(predictions)

    @property
    def get_model_measurements(self):
         Collect metrics corresponding to the current status of the tree.

After Change

            predictions = np.asarray(predictions)
        else:
            // Fill missing values related to unobserved classes to ensure we get a 2D array
            predictions = np.asarray(list(itertools.zip_longest(*predictions, fillvalue=0.0))).T
        return predictions

    @property
    def get_model_measurements(self):
         Collect metrics corresponding to the current status of the tree.

Instances