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authorZheng RuiFeng <ruifengz@foxmail.com>2016-05-15 15:59:49 +0100
committerSean Owen <sowen@cloudera.com>2016-05-15 15:59:49 +0100
commitc7efc56c7b6fc99c005b35c335716ff676856c6c (patch)
tree09412bc7bec3167e8ec15dc8293043e1ab7abbc5 /docs
parentf5576a052da0bb59343bc2a6b6ce06c6abaac75b (diff)
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[MINOR] Fix Typos
## What changes were proposed in this pull request? 1,Rename matrix args in BreezeUtil to upper to match the doc 2,Fix several typos in ML and SQL ## How was this patch tested? manual tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #13078 from zhengruifeng/fix_ann.
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diff --git a/docs/ml-guide.md b/docs/ml-guide.md
index 99167873cd..cc353df1ec 100644
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@@ -257,7 +257,7 @@ 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 overridden by the `setMetricName`
method in each of these evaluators.