I wonder if these ensembles, while common, are too non-standard. Are there
well-analysed variants of these models in the literature, or standard ways
to configure them? If not, perhaps this is best presented as an example
rather than avaialable in the library...
On 14 January 2015 at 13:21, Andy
Hi Sebastian.
I think this might be useful as these times of algorithms are often used
in competitions.
It would also be nice to provide a transform method, so that one could
also learn another model on top
(like here
http://zacstewart.com/2014/08/05/pipelines-of-featureunions-of-pipelines.html)
Dear Joel,
Thanks for the reply here. Apologies for the later delay, but I have not been
receiving the email updates, and I only noticed your reply when I looked on the
archive.
My problem has now arisen in a smaller dataset with only 125 features (small in
genetics) and 7633 samples. Again I
