cbdf7049574e1725f116aafbe7a9cd85c198d268,aletheia/models.py,EnsembleSVM,predict_proba,#EnsembleSVM#Any#,75

Before Change

    def predict_proba(self, X):
        X_val=self.selector.transform(X)
        y_val_pred=[0]*len(X_val)
        for clf in self.clf_list:
            P=clf.predict_proba(X_val)
            for i in range(len(P)):
                y_val_pred[i]+=P[i][0]
        return y_val_pred


    def score(self, X, y):

After Change

    def predict_proba(self, X):
        y_pred=self._predict_cover_proba(X)
        return [ [float(x)/100, 1-float(x)/100] for x in y_pred ]

    def _predict_cover_proba(self, X):
        X_val=self.selector.transform(X)
        y_val_pred=[0]*len(X_val)

Instances