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2 parents ffafc80 + 2d8eb00 commit 4694813Copy full SHA for 4694813
examples/linear_model/plot_sparse_recovery.py
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number of samples, the number of features, the conditioning of the
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design matrix on the signal subspace, the amount of noise, and the
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absolute value of the smallest non-zero coefficient [Wainwright2006]
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-(http://statistics.berkeley.edu/tech-reports/709.pdf).
+(http://statistics.berkeley.edu/sites/default/files/tech-reports/709.pdf).
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Here we keep all parameters constant and vary the conditioning of the
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design matrix. For a well-conditioned design matrix (small mutual
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