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new a36e3c4 [SPARK-30934][ML][FOLLOW-UP] Update ml-guide to include
MulticlassClassificationEvaluator weight support in highlights
a36e3c4 is described below
commit a36e3c4c898b513b90e58859e3ca8e550d5cb0cd
Author: Huaxin Gao <[email protected]>
AuthorDate: Thu Mar 26 14:24:53 2020 +0800
[SPARK-30934][ML][FOLLOW-UP] Update ml-guide to include
MulticlassClassificationEvaluator weight support in highlights
### What changes were proposed in this pull request?
Update ml-guide to include ```MulticlassClassificationEvaluator``` weight
support in highlights
### Why are the changes needed?
```MulticlassClassificationEvaluator``` weight support is very important,
so should include it in highlights
### Does this PR introduce any user-facing change?
Yes
after:
### How was this patch tested?
manually build and check
Closes #28031 from huaxingao/highlights-followup.
Authored-by: Huaxin Gao <[email protected]>
Signed-off-by: zhengruifeng <[email protected]>
(cherry picked from commit ee6f8991a792e24a5b1c020d958877187af2f41b)
Signed-off-by: zhengruifeng <[email protected]>
---
docs/ml-guide.md | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/docs/ml-guide.md b/docs/ml-guide.md
index 5ce6b4f..ddce98b 100644
--- a/docs/ml-guide.md
+++ b/docs/ml-guide.md
@@ -91,10 +91,10 @@ The list below highlights some of the new features and
enhancements added to MLl
release of Spark:
* Multiple columns support was added to `Binarizer`
([SPARK-23578](https://issues.apache.org/jira/browse/SPARK-23578)),
`StringIndexer`
([SPARK-11215](https://issues.apache.org/jira/browse/SPARK-11215)),
`StopWordsRemover`
([SPARK-29808](https://issues.apache.org/jira/browse/SPARK-29808)) and PySpark
`QuantileDiscretizer`
([SPARK-22796](https://issues.apache.org/jira/browse/SPARK-22796)).
-* Support Tree-Based Feature Transformation was added
+* Tree-Based Feature Transformation was added
([SPARK-13677](https://issues.apache.org/jira/browse/SPARK-13677)).
* Two new evaluators `MultilabelClassificationEvaluator`
([SPARK-16692](https://issues.apache.org/jira/browse/SPARK-16692)) and
`RankingEvaluator`
([SPARK-28045](https://issues.apache.org/jira/browse/SPARK-28045)) were added.
-* Sample weights support was added in `DecisionTreeClassifier/Regressor`
([SPARK-19591](https://issues.apache.org/jira/browse/SPARK-19591)),
`RandomForestClassifier/Regressor`
([SPARK-9478](https://issues.apache.org/jira/browse/SPARK-9478)),
`GBTClassifier/Regressor`
([SPARK-9612](https://issues.apache.org/jira/browse/SPARK-9612)),
`RegressionEvaluator`
([SPARK-24102](https://issues.apache.org/jira/browse/SPARK-24102)),
`BinaryClassificationEvaluator` ([SPARK-24103](https://issues.apach [...]
+* Sample weights support was added in `DecisionTreeClassifier/Regressor`
([SPARK-19591](https://issues.apache.org/jira/browse/SPARK-19591)),
`RandomForestClassifier/Regressor`
([SPARK-9478](https://issues.apache.org/jira/browse/SPARK-9478)),
`GBTClassifier/Regressor`
([SPARK-9612](https://issues.apache.org/jira/browse/SPARK-9612)),
`MulticlassClassificationEvaluator`
([SPARK-24101](https://issues.apache.org/jira/browse/SPARK-24101)),
`RegressionEvaluator` ([SPARK-24102](https://issues.a [...]
* R API for `PowerIterationClustering` was added
([SPARK-19827](https://issues.apache.org/jira/browse/SPARK-19827)).
* Added Spark ML listener for tracking ML pipeline status
@@ -105,10 +105,10 @@ release of Spark:
([SPARK-28399](https://issues.apache.org/jira/browse/SPARK-28399)).
* [`Factorization
Machines`](ml-classification-regression.html#factorization-machines) classifier
and regressor were added
([SPARK-29224](https://issues.apache.org/jira/browse/SPARK-29224)).
-* Gaussian Naive Bayes
([SPARK-16872](https://issues.apache.org/jira/browse/SPARK-16872)) and
Complement Naive Bayes
([SPARK-29942](https://issues.apache.org/jira/browse/SPARK-29942)) were added.
+* Gaussian Naive Bayes Classifier
([SPARK-16872](https://issues.apache.org/jira/browse/SPARK-16872)) and
Complement Naive Bayes Classifier
([SPARK-29942](https://issues.apache.org/jira/browse/SPARK-29942)) were added.
* ML function parity between Scala and Python
([SPARK-28958](https://issues.apache.org/jira/browse/SPARK-28958)).
-* `predictRaw` is made public in all the Classification models.
`predictProbability` is made public in all the Classification models except
`LinearSVCModel`.
+* `predictRaw` is made public in all the Classification models.
`predictProbability` is made public in all the Classification models except
`LinearSVCModel`
([SPARK-30358](https://issues.apache.org/jira/browse/SPARK-30358)).
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