798882c255701943d530d7024d0da2db22e33cc0,pyod/models/abod.py,ABOD,fit,#ABOD#Any#,20

Before Change

            self.decision_scores[i, 0] = np.var(wcos_list)

        self.decision_scores = self.decision_scores.ravel() * -1
        self.threshold_ = scoreatpercentile(self.decision_scores,
                                            100 * (1 - self.contamination))
        self.y_pred = (self.decision_scores > self.threshold_).astype("int")

    def decision_function(self, X):

        if not self._isfitted:

After Change

            self.decision_scores[i, 0] = np.var(wcos_list)

        self.decision_scores = self.decision_scores.ravel() * -1
        self._process_decision_scores()
        return self

    def decision_function(self, X):

        check_is_fitted(self,

Instances