8000 implement sparse matrix support for decision trees and ensemble methods · Issue #2666 · scikit-learn/scikit-learn · GitHub
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sharecqy opened this issue Dec 14, 2013 · 3 comments
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implement sparse matrix support for decision trees and ensemble methods #2666

sharecqy opened this issue Dec 14, 2013 · 3 comments

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@sharecqy
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I notice decision tree only supports dense matrix.is there a reason it doesn't support sparse matrix.
@jnothman
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Implementing efficient sparse support would basically involve duplicating
the entire implementation, so it would only be considered if it's known to
be worthwhile.

So: do you know of (please cite) sparse problems that are well solved by
trees?

On Sun, Dec 15, 2013 at 1:53 AM, sharecqy notifications@github.com wrote:

I notice decision tree only supports dense matrix.is there a reason it
doesn't support sparse matrix.

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Reply to this email directly or view it on GitHubhttps://github.com//issues/2666
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@sharecqy
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In this paper,they use random forest to recommend labels for web page.The model they use is bag of words.
http://research.microsoft.com/en-us/um/people/manik/pubs%5Cagrawal13.pdf

@arjoly
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arjoly commented Dec 15, 2013

Closing duplicate of #655 (discussion of sparsity support for decision tree), #2581, #2399

@arjoly arjoly closed this as completed Dec 15, 2013
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@jnothman @sharecqy @arjoly
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