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| author | Dongjoon Hyun <dongjoon@apache.org> | 2016-02-22 09:52:07 +0000 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2016-02-22 09:52:07 +0000 |
| commit | 024482bf51e8158eed08a7dc0758f585baf86e1f (patch) | |
| tree | e51f2c53b027178bb4e485d2781e266d96ff6e3d /docs/ml-guide.md | |
| parent | 1b144455b620861d8cc790d3fc69902717f14524 (diff) | |
| download | spark-024482bf51e8158eed08a7dc0758f585baf86e1f.tar.gz spark-024482bf51e8158eed08a7dc0758f585baf86e1f.tar.bz2 spark-024482bf51e8158eed08a7dc0758f585baf86e1f.zip | |
[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 <dongjoon@apache.org>
Closes #11300 from dongjoon-hyun/minor_fix_typos.
Diffstat (limited to 'docs/ml-guide.md')
| -rw-r--r-- | docs/ml-guide.md | 2 |
1 files changed, 1 insertions, 1 deletions
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. |