pylspm.py 文件源码

def normaliza(self, X):
        correction = np.sqrt((len(X) - 1) / len(X))  # std factor corretion
        mean_ = np.mean(X, 0)
        scale_ = np.std(X, 0)
        X = X - mean_
        X = X / (scale_ * correction)
        return X