utils.py
def standardize_z_score(x):
    """
    standardize the input to have mean 0 and std 1
    :param x:
    :return: standardize the input to have mean 0 and std 1
    """
    cen = centralize(x)
    std = np.std(cen, axis=0)
    std = cen / std
    return std

    standardize the input to have mean 0 and std 1
    :param x:
    :return: standardize the input to have mean 0 and std 1
    
standardize the input to have mean 0 and std 1
standardize the input to have mean 0 and std 1
def standardize_z_score(x):
    cen = centralize(x)
    std = np.std(cen, axis=0)
    std = cen / std
    return std
def standardize_z_score ( x ) : cen = centralize ( x ) std = np . std ( cen , axis = 0 ) std = cen / std return std
standardize the input to have mean 0 and std 1
standardize the input to have mean 0 and std 1
"""
    standardize the input to have mean 0 and std 1
    :param x:
    :return: standardize the input to have mean 0 and std 1
    """
standardize the input to have mean 0 and std 1
standardize the input to have mean 0 and std 1
x
None