Repository: spark Updated Branches: refs/heads/master 8dbe77770 -> e5a63a0e3
[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 <[email protected]> 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. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/e5a63a0e Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/e5a63a0e Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/e5a63a0e Branch: refs/heads/master Commit: e5a63a0e39e35ba5f6b1732e09128c30fff17a2c Parents: 8dbe777 Author: Mike Dusenberry <[email protected]> Authored: Tue May 26 17:05:58 2015 +0100 Committer: Sean Owen <[email protected]> Committed: Tue May 26 17:05:58 2015 +0100 ---------------------------------------------------------------------- docs/mllib-naive-bayes.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/e5a63a0e/docs/mllib-naive-bayes.md ---------------------------------------------------------------------- diff --git a/docs/mllib-naive-bayes.md b/docs/mllib-naive-bayes.md index 56a2e9c..acdcc37 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). --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
