python-scikit-learnHow to generate dataset for regression
import numpy as np
from sklearn import datasets
X, y = datasets.make_regression(100, 5)ctrl + cfrom sklearn importimport module from scikit-learn | import numpyimport Numpy module |
X, yloaded features data ( | datasetspredefined datasets to play with |
make_regressiongenerates dataset for regression models | 100number of generated objects |
5number of features | |
Usage example
import numpy as np
from sklearn import datasets
X, y = datasets.make_regression(100, 5)
print(X.shape)
print(y.shape)output
(100, 5)
(100,)
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