From 711ce048a285403241bbc9eaabffc1314162e89c Mon Sep 17 00:00:00 2001 From: Lewuathe <lewuathe@me.com> Date: Mon, 1 Feb 2016 12:21:21 -0800 Subject: [PATCH] [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 <lewuathe@me.com> Closes #10996 from Lewuathe/fix-typo-in-ml-guide. --- docs/ml-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ml-guide.md b/docs/ml-guide.md index 5aafd53b58..f8279262e6 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. -- GitLab