sklearn.datasets.make_hastie_10_2(n_samples=12000, random_state=None)
[source]
Generates data for binary classification used in Hastie et al. 2009, Example 10.2.
The ten features are standard independent Gaussian and the target y
is defined by:
y[i] = 1 if np.sum(X[i] ** 2) > 9.34 else -1
Read more in the User Guide.
Parameters: |
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Returns: |
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See also
make_gaussian_quantiles
[1] | T. Hastie, R. Tibshirani and J. Friedman, “Elements of Statistical Learning Ed. 2”, Springer, 2009. |
sklearn.datasets.make_hastie_10_2
© 2007–2018 The scikit-learn developers
Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html