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import sklearn preprocessing

Fancy Flamingo answered on September 29, 2023 Popularity 7/10 Helpfulness 4/10

answer import sklearn preprocessing

import sklearn preprocessing

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>>> from sklearn import preprocessing
>>> import numpy as np
>>> X_train = np.array([[ 1., -1.,  2.],
...                     [ 2.,  0.,  0.],
...                     [ 0.,  1., -1.]])
>>> scaler = preprocessing.StandardScaler().fit(X_train)
>>> scaler
StandardScaler()

>>> scaler.mean_
array([1. ..., 0. ..., 0.33...])

>>> scaler.scale_
array([0.81..., 0.81..., 1.24...])

>>> X_scaled = scaler.transform(X_train)
>>> X_scaled
array([[ 0.  ..., -1.22...,  1.33...],
       [ 1.22...,  0.  ..., -0.26...],
       [-1.22...,  1.22..., -1.06...]])

https://scikit-learn.org/stable/modules/preprocessing.html

Popularity 7/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: import python

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