You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@spark.apache.org by ru...@apache.org on 2020/03/26 06:26:32 UTC
[spark] branch branch-3.0 updated: [SPARK-30934][ML][FOLLOW-UP]
Update ml-guide to include MulticlassClassificationEvaluator weight support
in highlights
This is an automated email from the ASF dual-hosted git repository.
ruifengz pushed a commit to branch branch-3.0
in repository https://gitbox.apache.org/repos/asf/spark.git
The following commit(s) were added to refs/heads/branch-3.0 by this push:
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 <hu...@us.ibm.com>
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 <hu...@us.ibm.com>
Signed-off-by: zhengruifeng <ru...@foxmail.com>
(cherry picked from commit ee6f8991a792e24a5b1c020d958877187af2f41b)
Signed-off-by: zhengruifeng <ru...@foxmail.com>
---
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)).
# Migration Guide
---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscribe@spark.apache.org
For additional commands, e-mail: commits-help@spark.apache.org