Repository: spark
Updated Branches:
  refs/heads/master da9146c91 -> 711ce048a


[ML][MINOR] Invalid MulticlassClassification reference in ml-guide

In 
[ml-guide](https://spark.apache.org/docs/latest/ml-guide.html#example-model-selection-via-cross-validation),
 there is invalid reference to `MulticlassClassificationEvaluator` apidoc.

https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.ml.evaluation.MultiClassClassificationEvaluator

Author: Lewuathe <lewua...@me.com>

Closes #10996 from Lewuathe/fix-typo-in-ml-guide.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/711ce048
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/711ce048
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/711ce048

Branch: refs/heads/master
Commit: 711ce048a285403241bbc9eaabffc1314162e89c
Parents: da9146c
Author: Lewuathe <lewua...@me.com>
Authored: Mon Feb 1 12:21:21 2016 -0800
Committer: Xiangrui Meng <m...@databricks.com>
Committed: Mon Feb 1 12:21:21 2016 -0800

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 docs/ml-guide.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/711ce048/docs/ml-guide.md
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diff --git a/docs/ml-guide.md b/docs/ml-guide.md
index 5aafd53..f827926 100644
--- a/docs/ml-guide.md
+++ b/docs/ml-guide.md
@@ -627,7 +627,7 @@ Currently, `spark.ml` supports model selection using the 
[`CrossValidator`](api/
 
 The `Evaluator` can be a 
[`RegressionEvaluator`](api/scala/index.html#org.apache.spark.ml.evaluation.RegressionEvaluator)
 for regression problems, a 
[`BinaryClassificationEvaluator`](api/scala/index.html#org.apache.spark.ml.evaluation.BinaryClassificationEvaluator)
-for binary data, or a 
[`MultiClassClassificationEvaluator`](api/scala/index.html#org.apache.spark.ml.evaluation.MultiClassClassificationEvaluator)
+for binary data, or a 
[`MultiClassClassificationEvaluator`](api/scala/index.html#org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator)
 for multiclass problems. The default metric used to choose the best `ParamMap` 
can be overriden by the `setMetricName`
 method in each of these evaluators.
 


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