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Chunk #54 — 5 Timings — 5.1 Regression with the Lasso

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Regularization Paths for Generalized Linear Models via Coordinate Descent.
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min(N, p) problems along the path. Table 1 shows timings in seconds averaged over three runs. We see that glmnet is considerably faster than LARS; the covariance-updating version of the algorithm is a little faster than the naive version when N > p and a little slower when p > N. We had expected that high correlation between the features would increase the run time of glmnet, but this does not seem to be the case.