0e7f26c9ac0f1707b42b757327ab4b9db2a57b5c,pyod/models/base.py,BaseDetector,predict_proba,#BaseDetector#Any#Any#,60

Before Change

        return (pred_score > self.threshold_).astype("int").ravel()

    def predict_proba(self, X_test, method="linear"):
        if not self._isfitted:
            NotFittedError("Model is not fitted yet")

        test_scores = self.decision_function(X_test)
        train_scores = self.decision_scores

        if method == "linear":

After Change

            in [0,1]
        :rtype: array, shape (n_samples,)
        
        check_is_fitted(self, ["decision_scores", "threshold_", "y_pred"])

        test_scores = self.decision_function(X)
        train_scores = self.decision_scores

Instances