8339aa8d520cd14e4e278e7ac68a6755a8953fbd,TraditionalML/OneLayer.py,OneLayerModel,_augment_data,#OneLayerModel#Any#Any#,33

Before Change

        """

        // Randomly permute the inputs, and label the permutations Unknown
        X_permed = [
                    np.random.permutation(X[i])
                    for i in range(X.shape[0])
                   ]
        np.random.shuffle(X_permed)
        y_permed = [self.labels.index("Unknown")]*len(X_permed)
        X_permed, y_permed = np.stack(X_permed), np.stack(y_permed)
        X_aug = np.concatenate((X, X_permed), axis=0)

After Change

        """

        // Randomly permute the inputs, and label the permutations Unknown
        X_permed = np.copy(X)
        for i in range(X_permed.shape[1]):
            np.random.shuffle(X_permed[:,i])

        y_permed = [self.labels.index("Unknown")]*X_permed.shape[0]
        y_permed = np.stack(y_permed)

        X_aug = np.concatenate((X, X_permed), axis=0)
        y_aug = np.concatenate((y, y_permed), axis=0)

Instances