fdf91a85cc868ff50b97c790fde279b7ad8858c8,art/classifiers/tensorflow.py,TFClassifier,fit,#TFClassifier#Any#Any#Any#Any#,121

Before Change

            raise ValueError("Need the training objective and the output placeholder to train the model.")

        // Apply defences
        x_preproc = self._apply_processing(x)
        x_preproc, y_preproc = self._apply_defences(x_preproc, y, fit=True)

        num_batch = int(np.ceil(len(x_preproc) / float(batch_size)))
        ind = np.arange(len(x_preproc))

After Change

            raise ValueError("Need the training objective and the output placeholder to train the model.")

        // Apply defences
        x_defences, y_defences, _ = self._apply_preprocessing(x, y, fit=True)

        num_batch = int(np.ceil(len(x_defences) / float(batch_size)))
        ind = np.arange(len(x_defences))

Instances