4a84e4934e95620383c969ab493243b0396235f2,aif360/sklearn/postprocessing/__init__.py,PostProcessingMeta,predict_proba,#PostProcessingMeta#Any#,134

Before Change

        
        y_pred = (self.estimator_.predict(X) if not self.use_proba_ else
                  self.estimator_.predict_proba(X))
        y_pred = pd.Series(y_pred, index=X.index)
        return self.postprocessor_.predict_proba(y_pred)

    @if_delegate_has_method("postprocessor_")
    def predict_log_proba(self, X):

After Change

        
        y_pred = (self.estimator_.predict(X) if not self.use_proba_ else
                  self.estimator_.predict_proba(X))
        y_pred = pd.DataFrame(y_pred, index=X.index).squeeze("columns")
        return self.postprocessor_.predict_proba(y_pred)

    @if_delegate_has_method("postprocessor_")
    def predict_log_proba(self, X):

Instances