Dear Hector,
You probably want to introduce a loss function that quantifies the
accuracy of the solution and try to minimize it.
Then you will have to figure out how to perform some kind of
generalization to new samples. Are you learning a rule that associates a
with C_a ? Otherw
If I understand you correctly, you might be looking for SequenceKFold in
Lars Buitinck's seqlearn repository:
https://github.com/larsmans/seqlearn/blob/master/seqlearn/evaluation.py
On Sun, Sep 1, 2013 at 5:46 AM, Hector wrote:
> Hey guys,
> I guess in the end this is a question about methodolo
Hey guys,
I guess in the end this is a question about methodology and I could
write my own functions for sampling and evaluation, but I'm wondering
if this problem has already been solved in scikit-learn.
I have a dataset where I would like to group samples for
cross-validation and evaluation becau
