Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/16148#discussion_r91310987
--- Diff: docs/sparkr.md ---
@@ -512,39 +512,33 @@ head(teenagers)
# Machine Learning
-SparkR supports the following machine learning algorithms currently:
`Generalized Linear Model`, `Accelerated Failure Time (AFT) Survival Regression
Model`, `Naive Bayes Model` and `KMeans Model`.
-Under the hood, SparkR uses MLlib to train the model.
-Users can call `summary` to print a summary of the fitted model,
[predict](api/R/predict.html) to make predictions on new data, and
[write.ml](api/R/write.ml.html)/[read.ml](api/R/read.ml.html) to save/load
fitted models.
-SparkR supports a subset of the available R formula operators for model
fitting, including â~â, â.â, â:â, â+â, and â-â.
-
## Algorithms
-### Generalized Linear Model
-
-[spark.glm()](api/R/spark.glm.html) or [glm()](api/R/glm.html) fits
generalized linear model against a Spark DataFrame.
-Currently "gaussian", "binomial", "poisson" and "gamma" families are
supported.
-{% include_example glm r/ml.R %}
-
-### Accelerated Failure Time (AFT) Survival Regression Model
-
-[spark.survreg()](api/R/spark.survreg.html) fits an accelerated failure
time (AFT) survival regression model on a SparkDataFrame.
-Note that the formula of [spark.survreg()](api/R/spark.survreg.html) does
not support operator '.' currently.
-{% include_example survreg r/ml.R %}
-
-### Naive Bayes Model
-
-[spark.naiveBayes()](api/R/spark.naiveBayes.html) fits a Bernoulli naive
Bayes model against a SparkDataFrame. Only categorical data is supported.
-{% include_example naiveBayes r/ml.R %}
-
-### KMeans Model
+SparkR supports the following machine learning algorithms currently:
+
+* [`spark.glm`](api/R/spark.glm.html) or [`glm`](api/R/glm.html):
[`Generalized Linear
Model`](ml-classification-regression.html#generalized-linear-regression)
+* [`spark.survreg`](api/R/spark.survreg.html): [`Accelerated Failure Time
(AFT) Survival Regression
Model`](ml-classification-regression.html#survival-regression)
+* [`spark.naiveBayes`](api/R/spark.naiveBayes.html): [`Naive Bayes
Model`](ml-classification-regression.html#naive-bayes)
+* [`spark.kmeans`](api/R/spark.kmeans.html): [`KMeans
Model`](ml-clustering.html#k-means)
--- End diff --
Done.
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