python-scikit-learnHow to generate dataset for regression

import numpy as np
from sklearn import datasets

X, y = datasets.make_regression(100, 5)ctrl + cgithub

`from sklearn import` import module from scikit-learn	`import numpy` import Numpy module
`X, y` loaded features data (`X`) and target variable (`y`) values	`datasets` predefined datasets to play with
`make_regression` generates dataset for regression models	`100` number of generated objects
`5` number of features

import numpy as np
from sklearn import datasets

X, y = datasets.make_regression(100, 5)

print(X.shape)
print(y.shape)

(100, 5)
(100,)