8000 AdaBoostClassifier requires a dense array even when the base learner does not · Issue #2581 · scikit-learn/scikit-learn · GitHub
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AdaBoostClassifier requires a dense array even when the base learner does not #2581

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mhlr opened this issue Nov 9, 2013 · 3 comments
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AdaBoostClassifier requires a dense array even when the base learner does not #2581

mhlr opened this issue Nov 9, 2013 · 3 comments
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@mhlr
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mhlr commented Nov 9, 2013

AdaBoostClassifier does does not directly use the feature values of the input array, so it should not need to require the input to be dense. This limits its applicability to large scale high dimentional problems
@panyi121
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I am currently working on a project which takes sparse matrix as input for AdaBoostClassifier. I desire to know whether this issue has already solved or are there other AdaBoostClassifier package that works with sparse matrix? Thanks so much!

This was referenced Dec 15, 2013
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@hamsal hamsal mentioned this issue May 18, 2014
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@hamsal
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hamsal commented May 18, 2014

I have created a PR for this with testing based of the testing for bagging classifiers in PR #3076

@arjoly
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arjoly commented Jun 4, 2014

Closed thanks to @hamsal (see #3161)

@arjoly arjoly closed this as completed Jun 4, 2014
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