[MRG+1] DOC: complete list of online learners #8152
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I have purposely left out the RBM, because it is a model that has fallen out of fashion and should probably not be used.
tguillemot
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Jan 4, 2017
| + :class:`sklearn.cluster.MiniBatchKMeans` | ||
| - Preprocessing | ||
| + :class:`sklearn.preprocessing.MinMaxScaler` | ||
| + :class:`sklearn.preprocessing.StandardScaler` |
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There is also :class:sklearn.preprocessing.MaxAbsScaler.
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There is also :class:sklearn.preprocessing.MaxAbsScaler.
Good catch! Thanks. I added it.
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No pb :) |
tguillemot
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Jan 4, 2017
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I haven't said but LGTM :) |
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thx @GaelVaroquaux |
raghavrv
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* DOC: complete list of online learners I have purposely left out the RBM, because it is a model that has fallen out of fashion and should probably not be used. * DOC: Add MaxAbsScaler to online learners
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Feb 28, 2017
* DOC: complete list of online learners I have purposely left out the RBM, because it is a model that has fallen out of fashion and should probably not be used. * DOC: Add MaxAbsScaler to online learners
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Jun 14, 2017
* DOC: complete list of online learners I have purposely left out the RBM, because it is a model that has fallen out of fashion and should probably not be used. * DOC: Add MaxAbsScaler to online learners
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* DOC: complete list of online learners I have purposely left out the RBM, because it is a model that has fallen out of fashion and should probably not be used. * DOC: Add MaxAbsScaler to online learners
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* DOC: complete list of online learners I have purposely left out the RBM, because it is a model that has fallen out of fashion and should probably not be used. * DOC: Add MaxAbsScaler to online learners
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* DOC: complete list of online learners I have purposely left out the RBM, because it is a model that has fallen out of fashion and should probably not be used. * DOC: Add MaxAbsScaler to online learners
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Trivial doc fix to complete the list of learners with partial_fit.
I have purposely left out the RBM, because it is a model that has fallen out of fashion and should probably not be used. I also left out LSHForest because it implements neither predict nor transform and isn't very useful currently.