[MRG] improve documentation on sample generators#3001
[MRG] improve documentation on sample generators#3001jnothman merged 1 commit intoscikit-learn:masterfrom
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Small doc fixes/copy edits/clarifications can be pushed straight to master, AFAIC. I find it hard to see the effect of patches on docs in GitHub since the diff context is small, so I'm not very likely to review these. |
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Fair enough. I don't think this will be that small once I'm done, and I'd On 31 March 2014 00:14, Lars Buitinck notifications@github.com wrote:
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This is as far as I want to take this PR. It's touched examples and a bit of API in addition to narrative documentation, so review from another pair of eyes would be helpful. |
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+1 great addition to the doc |
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Added under "generators for manifold learning" subheading.
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Ctrl+F'd the lot of them :)
Dedication!
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Apart from the comment, +1 for merge (please squash). |
Also allow make_multilabel_classification to return underlying distributions.
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Squashed. |
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And merging. |
[MRG] improve documentation on sample generators
[MRG] improve documentation on sample generators
As pointed out by @GaelVaroquaux and @arjoly at #2828, sample generators could do with better narrative documentation, if not examples.
Here's a start towards that goal. I think I can have a go at describing and inserting plots related to the main classification/clustering and regression generators. It would be nice if someone could provide a comparative introduction to the decomposition generators.
In general, contributions are welcome.