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| author | Mike Dusenberry <dusenberrymw@gmail.com> | 2015-05-21 19:05:04 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-05-21 19:05:04 -0700 |
| commit | e4136ea6c457bc74cee312aa14974498ab4633eb (patch) | |
| tree | a150e702ff76708240a183b89f0a3e180b57d973 /docs/mllib-linear-methods.md | |
| parent | 956c4c910cb536a02128349f2250d0a5f9924d0c (diff) | |
| download | spark-e4136ea6c457bc74cee312aa14974498ab4633eb.tar.gz spark-e4136ea6c457bc74cee312aa14974498ab4633eb.tar.bz2 spark-e4136ea6c457bc74cee312aa14974498ab4633eb.zip | |
[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.
Diffstat (limited to 'docs/mllib-linear-methods.md')
| -rw-r--r-- | docs/mllib-linear-methods.md | 3 |
1 files changed, 1 insertions, 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 |