Generate a random regression problem with sparse uncorrelated design
This dataset is described in Celeux et al [1]. as:
X ~ N(0, 1) y(X) = X[:, 0] + 2 * X[:, 1] - 2 * X[:, 2] - 1.5 * X[:, 3]
Only the first 4 features are informative. The remaining features are useless.
Read more in the User Guide.
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[1] | G. Celeux, M. El Anbari, J.-M. Marin, C. P. Robert, “Regularization in regression: comparing Bayesian and frequentist methods in a poorly informative situation”, 2009. |
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http://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html