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| author | Xiangrui Meng <meng@databricks.com> | 2015-05-21 22:57:33 -0700 |
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| committer | Xiangrui Meng <meng@databricks.com> | 2015-05-21 22:57:33 -0700 |
| commit | 8f11c6116bf8c7246682cbb2d6f27bf0f1531c6d (patch) | |
| tree | 144b7d5b9ec1215e88d05539f51e042a6d39470c /docs | |
| parent | e4136ea6c457bc74cee312aa14974498ab4633eb (diff) | |
| download | spark-8f11c6116bf8c7246682cbb2d6f27bf0f1531c6d.tar.gz spark-8f11c6116bf8c7246682cbb2d6f27bf0f1531c6d.tar.bz2 spark-8f11c6116bf8c7246682cbb2d6f27bf0f1531c6d.zip | |
[SPARK-7535] [.0] [MLLIB] Audit the pipeline APIs for 1.4
Some changes to the pipeilne APIs:
1. Estimator/Transformer/ doesn’t need to extend Params since PipelineStage already does.
1. Move Evaluator to ml.evaluation.
1. Mention larger metric values are better.
1. PipelineModel doc. “compiled” -> “fitted”
1. Hide object PolynomialExpansion.
1. Hide object VectorAssembler.
1. Word2Vec.minCount (and other) -> group param
1. ParamValidators -> DeveloperApi
1. Hide MetadataUtils/SchemaUtils.
jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes #6322 from mengxr/SPARK-7535.0 and squashes the following commits:
9e9c7da [Xiangrui Meng] move JavaEvaluator to ml.evaluation as well
e179480 [Xiangrui Meng] move Evaluation to ml.evaluation in PySpark
08ef61f [Xiangrui Meng] update pipieline APIs
Diffstat (limited to 'docs')
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