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authorGaurav Nanda <gaurav324@gmail.com>2015-04-18 17:20:46 -0700
committerReynold Xin <rxin@databricks.com>2015-04-18 17:20:46 -0700
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Fixed doc
Just fixed a doc. Author: Gaurav Nanda <gaurav324@gmail.com> Closes #5576 from gaurav324/master and squashes the following commits: 8a7323f [Gaurav Nanda] Fixed doc
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@@ -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.