Major Description
Current only support the selection of categorical features, while there are many requirements to the selection of continuous distribution features.
ANOVA F-value is one way to select features from the continuous distribution and it's important to support it in spark.
Attachments
Issue Links
- is related to
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SPARK-34080 Add UnivariateFeatureSelector to deprecate existing selectors
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- Resolved
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- links to
1.
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Support FValueRegressionSelector for continuous features and continuous labels |
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Resolved | Huaxin Gao |
2.
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add FValueRegressionTest |
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Resolved | Huaxin Gao |
3.
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Remove ChiSqSelector dependency on mllib.ChiSqSelectorModel |
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Resolved | Huaxin Gao |
4.
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Add abstract Selector |
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Resolved | Huaxin Gao |
5.
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Add ANOVASelector |
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Resolved | Huaxin Gao |
6.
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add ANOVATest and FValueTest to PySpark |
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Resolved | Huaxin Gao |
7.
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Add ANOVATest example |
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Resolved | kevin yu |
8.
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Add FValueTest Examples |
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Resolved | kevin yu |
9.
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Add ANOVASelector and FValueSelector to PySpark |
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Resolved | Huaxin Gao |
10.
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Add docs and examples for ANOVASelector and FValueSelector |
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Resolved | Huaxin Gao |