b3ceddd0b4d21f32e55dd4126300973c6a732e63,src/skmultiflow/trees/attribute_observer/numeric_attribute_regression_observer.py,NumericAttributeRegressionObserver,get_best_evaluated_split_suggestion,#NumericAttributeRegressionObserver#Any#Any#Any#Any#,95

Before Change

        self._sum_sq_total_left = 0.0
        self._sum_sq_total_right = pre_split_dist[2]
        self._count_left_total = 0.0
        self._count_right_total = pre_split_dist[0]
        return self.search_for_best_split_option(self._root, None, criterion, att_idx)

    def search_for_best_split_option(self, current_node, current_best_option, criterion, att_idx):
        if current_node is None or self._count_right_total == 0:

After Change

        self._aux_sum_weight = 0

        // Handles both single-target and multi-target tasks
        if np.ndim(pre_split_dist[1]) == 0:
            self._aux_sum = 0.0
            self._aux_sum_sq = 0.0
        else:
            self._aux_sum = np.zeros_like(pre_split_dist[1])
            self._aux_sum_sq = np.zeros_like(pre_split_dist[2])

        candidate = AttributeSplitSuggestion(None, [{}], -float("inf"))

        best_split = self._find_best_split(self._root, candidate)

Instances