import numpy as np


class StandardScaler(object):

    def __init__(self):
        pass

    def fit_transform(self, X):
        mean = np.mean(X)
        std = np.std(X)
        X -= mean
        X /= std
        return X

3bf8da11a77e7fc3dc9399472800f7de44079651
<mask token>


class StandardScaler(object):
    <mask token>
    <mask token>

<mask token>


class StandardScaler(object):

    def __init__(self):
        pass
    <mask token>

<mask token>


class StandardScaler(object):

    def __init__(self):
        pass

    def fit_transform(self, X):
        mean = np.mean(X)
        std = np.std(X)
        X -= mean
        X /= std
        return X

import numpy as np


class StandardScaler(object):

    def __init__(self):
        pass

    def fit_transform(self, X):
        mean = np.mean(X)
        std = np.std(X)
        X -= mean
        X /= std
        return X
