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In glmnet one can add positivity constraints on the fitted coefficients using argument lower.limits. I was just wondering if it would be possible to add this capability in cudaglmnet also? (Support for additional families like poisson, multinomial and mgaussian would also be nice of course)
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The capacity of setting box-constraints on coefficients is one of the reasons I come back to glmnet. Elastic net in h2o or mpath do not have box-constraint capability.
In glmnet one can add positivity constraints on the fitted coefficients using argument lower.limits. I was just wondering if it would be possible to add this capability in cudaglmnet also? (Support for additional families like poisson, multinomial and mgaussian would also be nice of course)
The text was updated successfully, but these errors were encountered: