lasso regression non-positive constraints

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Rini
Rini 2014 年 11 月 6 日
編集済み: John D'Errico 2018 年 3 月 31 日
Hello, I read about the l1_ls package http://stanford.edu/~boyd/l1_ls/ to solve large sparse problems. It has another version to solve lasso with non-negative constraints. I went through the code of both l1_ls and l1_ls_nonneg. But I am not sure what changes to make in the code to implement lasso with non-positive constraints. Can someone please help me?
Thanks so much!
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Sandipan
Sandipan 2018 年 3 月 31 日
Could you solve the problem??? I have a solution using Bayesian method...

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John D'Errico
John D'Errico 2018 年 3 月 31 日
編集済み: John D'Errico 2018 年 3 月 31 日
Suppose you were to just negate your dependent variable?
Solve now, using non-negative solver. You already know how to use that.
Finally, negate the coefficients.

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