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[Docs] [MLlib] Fixing broken link in MLlib Linear Methods documentation. #6340

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[Docs] [MLlib] Fixing broken link in MLlib Linear Methods documentation. #6340

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3 changes: 1 addition & 2 deletions docs/mllib-linear-methods.md
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Expand Up @@ -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
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