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| -rw-r--r-- | docs/mllib-naive-bayes.md | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/docs/mllib-naive-bayes.md b/docs/mllib-naive-bayes.md index 56a2e9ca86..acdcc37148 100644 --- a/docs/mllib-naive-bayes.md +++ b/docs/mllib-naive-bayes.md @@ -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). |