Repository: spark Updated Branches: refs/heads/master 28683b4df -> 729885ec6
Fixed doc Just fixed a doc. Author: Gaurav Nanda <[email protected]> Closes #5576 from gaurav324/master and squashes the following commits: 8a7323f [Gaurav Nanda] Fixed doc Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/729885ec Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/729885ec Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/729885ec Branch: refs/heads/master Commit: 729885ec6b4be61144d04821f1a6e8d2134eea00 Parents: 28683b4 Author: Gaurav Nanda <[email protected]> Authored: Sat Apr 18 17:20:46 2015 -0700 Committer: Reynold Xin <[email protected]> Committed: Sat Apr 18 17:20:46 2015 -0700 ---------------------------------------------------------------------- docs/mllib-linear-methods.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/729885ec/docs/mllib-linear-methods.md ---------------------------------------------------------------------- diff --git a/docs/mllib-linear-methods.md b/docs/mllib-linear-methods.md index 9270741..2b2be4d 100644 --- a/docs/mllib-linear-methods.md +++ b/docs/mllib-linear-methods.md @@ -377,7 +377,7 @@ references. Here is an [detailed mathematical derivation](http://www.slideshare.net/dbtsai/2014-0620-mlor-36132297). -For multiclass classification problems, the algorithm will outputs a multinomial logistic regression +For multiclass classification problems, the algorithm will output a multinomial logistic regression model, which contains $K - 1$ binary logistic regression models regressed against the first class. Given a new data points, $K - 1$ models will be run, and the class with largest probability will be chosen as the predicted class. --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
