aboutsummaryrefslogtreecommitdiff
path: root/docs/mllib-linear-methods.md
diff options
context:
space:
mode:
Diffstat (limited to 'docs/mllib-linear-methods.md')
-rw-r--r--docs/mllib-linear-methods.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/mllib-linear-methods.md b/docs/mllib-linear-methods.md
index 9270741d43..2b2be4d9d0 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.