68e50bfb8d717dc4b87faece5c270df424af357e,art/classifiers/GPy.py,GPyGaussianProcessClassifier,predict_uncertainty,#GPyGaussianProcessClassifier#Any#,157

Before Change

        // Apply preprocessing
        x_preprocessed, _ = self._apply_preprocessing(x, y=None, fit=False)

        return self.model.predict_noiseless(x_preprocessed)[1]

    def fit(self, x, y, **kwargs):
        
        Fit the classifier on the training set `(x, y)`.

After Change

        x_preprocessed, _ = self._apply_preprocessing(x, y=None, fit=False)

        // Perform prediction
        out = self.model.predict_noiseless(x_preprocessed)[1]

        // Apply postprocessing defences
        predictions = self._apply_postprocessing(preds=out, fit=False)

        return predictions

    def fit(self, x, y, **kwargs):
        
        Fit the classifier on the training set `(x, y)`.

Instances