sklearn_utils/noise/noise_preprocessing.py
def transform(self, X):
        '''
        :X: numpy ndarray 
        '''
        noise = self._noise_func(*self._args, size=X.shape)
        results = X + noise
        self.relative_noise_size_ = self.relative_noise_size(X, results)
        return results
def transform(self, X):
        '''
        :X: numpy ndarray 
        '''
        noise = self._noise_func(*self._args, size=X.shape)
        results = X + noise
        self.relative_noise_size_ = self.relative_noise_size(X, results)
        return results
:X: numpy ndarray