Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/13285#discussion_r65199761
--- Diff: docs/sparkr.md ---
@@ -285,71 +285,57 @@ head(teenagers)
# Machine Learning
-SparkR allows the fitting of generalized linear models over DataFrames
using the [glm()](api/R/glm.html) function. Under the hood, SparkR uses MLlib
to train a model of the specified family. Currently the gaussian and binomial
families are supported. We support a subset of the available R formula
operators for model fitting, including '~', '.', ':', '+', and '-'.
+SparkR supports the following Machine Learning algorithms.
-The [summary()](api/R/summary.html) function gives the summary of a model
produced by [glm()](api/R/glm.html).
+* Generalized Linear Regression Model [glm()](api/R/glm.html)
+* Naive Bayes [naiveBayes()](api/R/naiveBayes.html)
+* KMeans [kmeans()](api/R/kmeans.html)
+* AFT Survival Regression [survreg()](api/R/survreg.html)
--- End diff --
We have rename these with functions to ```spark.glm, spark.naiveBayes,
spark.kmeans, spark.survreg```.
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