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| author | Zheng RuiFeng <ruifengz@foxmail.com> | 2016-11-08 14:04:07 +0000 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2016-11-08 14:04:07 +0000 |
| commit | b1033fb74595716a8973acae43a6415d8e0a76d2 (patch) | |
| tree | 8bae0387a3e47a1f4b9184f5fec868b7626ed7c7 /docs/ml-tuning.md | |
| parent | ee2e741ac16b01d9cae0eadd35af774547bbd415 (diff) | |
| download | spark-b1033fb74595716a8973acae43a6415d8e0a76d2.tar.gz spark-b1033fb74595716a8973acae43a6415d8e0a76d2.tar.bz2 spark-b1033fb74595716a8973acae43a6415d8e0a76d2.zip | |
[MINOR][DOC] Unify example marks
## What changes were proposed in this pull request?
1, `**Example**` => `**Examples**`, because more algos use `**Examples**`.
2, delete `### Examples` in `Isotonic regression`, because it's not that special in http://spark.apache.org/docs/latest/ml-classification-regression.html
3, add missing marks for `LDA` and other algos.
## How was this patch tested?
No tests for it only modify doc
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes #15783 from zhengruifeng/doc_fix.
Diffstat (limited to 'docs/ml-tuning.md')
| -rw-r--r-- | docs/ml-tuning.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/ml-tuning.md b/docs/ml-tuning.md index 2ca90c7092..e4b070331d 100644 --- a/docs/ml-tuning.md +++ b/docs/ml-tuning.md @@ -62,7 +62,7 @@ To help construct the parameter grid, users can use the [`ParamGridBuilder`](api After identifying the best `ParamMap`, `CrossValidator` finally re-fits the `Estimator` using the best `ParamMap` and the entire dataset. -## Example: model selection via cross-validation +**Examples: model selection via cross-validation** The following example demonstrates using `CrossValidator` to select from a grid of parameters. @@ -102,7 +102,7 @@ It splits the dataset into these two parts using the `trainRatio` parameter. For Like `CrossValidator`, `TrainValidationSplit` finally fits the `Estimator` using the best `ParamMap` and the entire dataset. -## Example: model selection via train validation split +**Examples: model selection via train validation split** <div class="codetabs"> |