From 024482bf51e8158eed08a7dc0758f585baf86e1f Mon Sep 17 00:00:00 2001 From: Dongjoon Hyun Date: Mon, 22 Feb 2016 09:52:07 +0000 Subject: [MINOR][DOCS] Fix all typos in markdown files of `doc` and similar patterns in other comments ## What changes were proposed in this pull request? This PR tries to fix all typos in all markdown files under `docs` module, and fixes similar typos in other comments, too. ## How was the this patch tested? manual tests. Author: Dongjoon Hyun Closes #11300 from dongjoon-hyun/minor_fix_typos. --- docs/ml-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'docs/ml-guide.md') diff --git a/docs/ml-guide.md b/docs/ml-guide.md index 1770aabf6f..8eee2fb674 100644 --- a/docs/ml-guide.md +++ b/docs/ml-guide.md @@ -628,7 +628,7 @@ 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 multiclass problems. The default metric used to choose the best `ParamMap` can be overriden by the `setMetricName` +for multiclass problems. The default metric used to choose the best `ParamMap` can be overridden by the `setMetricName` method in each of these evaluators. The `ParamMap` which produces the best evaluation metric (averaged over the `$k$` folds) is selected as the best model. -- cgit v1.2.3