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Commit e4136ea6 authored by Mike Dusenberry's avatar Mike Dusenberry Committed by Xiangrui Meng
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[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.
parent 956c4c91
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...@@ -785,8 +785,7 @@ gradient descent (`stepSize`, `numIterations`, `miniBatchFraction`). For each o ...@@ -785,8 +785,7 @@ gradient descent (`stepSize`, `numIterations`, `miniBatchFraction`). For each o
all three possible regularizations (none, L1 or L2). all three possible regularizations (none, L1 or L2).
For Logistic Regression, [L-BFGS](api/scala/index.html#org.apache.spark.mllib.optimization.LBFGS) For Logistic Regression, [L-BFGS](api/scala/index.html#org.apache.spark.mllib.optimization.LBFGS)
version is implemented under [LogisticRegressionWithLBFGS] version is implemented under [LogisticRegressionWithLBFGS](api/scala/index.html#org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS), and this
(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 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 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 supports L1 regularization. When L1 regularization is not required, L-BFGS version is strongly
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