Hello,
I have been trying to implement MultiTaskElasticNetCV in this PR,
https://github.com/scikit-learn/scikit-learn/pull/2598
I have got a number of test failures, one of them which include
ValueError: Could Not interpret dimensions.
I traced this to L924 in the PR. safe_sparse_dot(X_test, coef). This is
because I have stored coef as a 3-D numpy array,
a] First dimension - order/tasks
b] Second dimension - features
c] Third dimension - alpha.
Hence if X_test is a sparse matrix doing X_test*coef would raise a
ValueError.
The only alternative, I can think of is using a 'for' loop across the order
or tasks, which seems a 'non-numpy way' of doing it. Is there a better way
of doing this?
Awaiting a reply.
Thanks.
--
Regards,
Manoj Kumar,
Mech Undergrad
http://manojbits.wordpress.com
------------------------------------------------------------------------------
Rapidly troubleshoot problems before they affect your business. Most IT
organizations don't have a clear picture of how application performance
affects their revenue. With AppDynamics, you get 100% visibility into your
Java,.NET, & PHP application. Start your 15-day FREE TRIAL of AppDynamics Pro!
http://pubads.g.doubleclick.net/gampad/clk?id=84349831&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
