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Hi, thank you for this nice repo :)
Is there any way to use it to do positive group lasso, that is minimizing over vector with non-negative coefficients ?
In scikit-learn, there is a positive=True parameter that handles this. Is there such possibility here, or is there an easy way to solve this ? Thank you!
The text was updated successfully, but these errors were encountered:
That would be a very nice addition. However, while non-negativity constraints are very straightforward for LASSO, it is not straightforward to implement non negative group lasso.
It seems like we at least would need a different optimisation algorithm than FISTA, such as ADMM. Unfortunately, that would be a substantial effort to implement and test, so I don't think I have the time to implement that.
Hi, thank you for this nice repo :)
Is there any way to use it to do positive group lasso, that is minimizing over vector with non-negative coefficients ?
In scikit-learn, there is a
positive=True
parameter that handles this. Is there such possibility here, or is there an easy way to solve this ? Thank you!The text was updated successfully, but these errors were encountered: