From e4136ea6c457bc74cee312aa14974498ab4633eb Mon Sep 17 00:00:00 2001 From: Mike Dusenberry <dusenberrymw@gmail.com> Date: Thu, 21 May 2015 19:05:04 -0700 Subject: [PATCH] [DOCS] [MLLIB] Fixing broken link in MLlib Linear Methods documentation. Just a small change: fixed a broken link in the MLlib Linear Methods documentation by removing a newline character between the link title and link address. Author: Mike Dusenberry <dusenberrymw@gmail.com> Closes #6340 from dusenberrymw/Fix_MLlib_Linear_Methods_link and squashes the following commits: 0a57818 [Mike Dusenberry] Fixing broken link in MLlib Linear Methods documentation. --- docs/mllib-linear-methods.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/docs/mllib-linear-methods.md b/docs/mllib-linear-methods.md index 2b2be4d9d0..8029edca16 100644 --- a/docs/mllib-linear-methods.md +++ b/docs/mllib-linear-methods.md @@ -785,8 +785,7 @@ gradient descent (`stepSize`, `numIterations`, `miniBatchFraction`). For each o all three possible regularizations (none, L1 or L2). For Logistic Regression, [L-BFGS](api/scala/index.html#org.apache.spark.mllib.optimization.LBFGS) -version is implemented under [LogisticRegressionWithLBFGS] -(api/scala/index.html#org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS), and this +version is implemented under [LogisticRegressionWithLBFGS](api/scala/index.html#org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS), and this version supports both binary and multinomial Logistic Regression while SGD version only supports binary Logistic Regression. However, L-BFGS version doesn't support L1 regularization but SGD one supports L1 regularization. When L1 regularization is not required, L-BFGS version is strongly -- GitLab