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Commit e5a63a0e authored by Mike Dusenberry's avatar Mike Dusenberry Committed by Sean Owen
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[DOCS] [MLLIB] Fixing misformatted links in v1.4 MLlib Naive Bayes...

[DOCS] [MLLIB] Fixing misformatted links in v1.4 MLlib Naive Bayes documentation by removing space and newline characters.

A couple of links in the MLlib Naive Bayes documentation for v1.4 were broken due to the addition of either space or newline characters between the link title and link URL in the markdown doc.  (Interestingly enough, they are rendered correctly in the GitHub viewer, but not when compiled to HTML by Jekyll.)

Author: Mike Dusenberry <dusenberrymw@gmail.com>

Closes #6412 from dusenberrymw/Fix_Broken_Links_In_MLlib_Naive_Bayes_Docs and squashes the following commits:

91a4028 [Mike Dusenberry] Fixing misformatted links by removing space and newline characters.
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......@@ -14,9 +14,8 @@ and use it for prediction.
MLlib supports [multinomial naive
Bayes](http://en.wikipedia.org/wiki/Naive_Bayes_classifier#Multinomial_naive_Bayes)
and [Bernoulli naive Bayes] (http://nlp.stanford.edu/IR-book/html/htmledition/the-bernoulli-model-1.html).
These models are typically used for [document classification]
(http://nlp.stanford.edu/IR-book/html/htmledition/naive-bayes-text-classification-1.html).
and [Bernoulli naive Bayes](http://nlp.stanford.edu/IR-book/html/htmledition/the-bernoulli-model-1.html).
These models are typically used for [document classification](http://nlp.stanford.edu/IR-book/html/htmledition/naive-bayes-text-classification-1.html).
Within that context, each observation is a document and each
feature represents a term whose value is the frequency of the term (in multinomial naive Bayes) or
a zero or one indicating whether the term was found in the document (in Bernoulli naive Bayes).
......
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