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[MRG+1] Doc Add doc in DictVectorizer when categorical features are numeric values (fixes #4413) #6285

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yenchenlin
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I've added a paragraph to clarify the use of DictVectorizer when user's categorical features are represented as numeric values.

Solve issue #4413

Please review - @amueller @jnothman

@yenchenlin yenchenlin changed the title [MRG] Doc: Add doc in DictVectorizer when categorical features are numeric values [MRG] Doc Add doc in DictVectorizer when categorical features are numeric values Feb 5, 2016
@ogrisel
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ogrisel commented Feb 5, 2016

LGTM.

@ogrisel ogrisel changed the title [MRG] Doc Add doc in DictVectorizer when categorical features are numeric values [MRG+1] Doc Add doc in DictVectorizer when categorical features are numeric values Feb 5, 2016
@yenchenlin yenchenlin changed the title [MRG+1] Doc Add doc in DictVectorizer when categorical features are numeric values [MRG+1] Doc Add doc in DictVectorizer when categorical features are numeric values (fixes #4413) Feb 8, 2016
amueller added a commit that referenced this pull request Feb 9, 2016
…c-about-one-hot-encoding

[MRG+1] Doc Add doc in DictVectorizer when categorical features are numeric values (fixes #4413)
@amueller amueller merged commit a8e7e48 into scikit-learn:master Feb 9, 2016
@yenchenlin yenchenlin deleted the update-DictVectorizer-doc-about-one-hot-encoding branch February 13, 2016 02:21
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3 participants