GitHub user mengxr opened a pull request:
https://github.com/apache/spark/pull/6322
[SPARK-7535.0] [MLLIB] Audit the pipeline APIs for 1.4
Some changes to the pipeilne APIs:
1. Estimator/Transformer/ doesnât need to extend Params since
PipelineStage already does.
1. Move Evaluator to ml.evaluation.
1. Mention larger metric values are better.
1. PipelineModel doc. âcompiledâ -> âfittedâ
1. Hide object PolynomialExpansion.
1. Hide object VectorAssembler.
1. Word2Vec.minCount (and other) -> @group param
1. ParamValidators -> @DeveloperApi
1. Hide MetadataUtils/SchemaUtils.
@jkbradley
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mengxr/spark SPARK-7535.0
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/6322.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #6322
----
commit 08ef61f491e5675540e5056ea7450f68be91246d
Author: Xiangrui Meng <[email protected]>
Date: 2015-05-21T17:13:11Z
update pipieline APIs
commit e17948072cb4d68d6285b737d60ccc643e231afe
Author: Xiangrui Meng <[email protected]>
Date: 2015-05-21T17:16:01Z
move Evaluation to ml.evaluation in PySpark
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]