Details
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Umbrella
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Status: Closed
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Major
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Resolution: Done
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None
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None
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Description
Here is the todo list of SPARK-11604 found issues:
Note: I did not list the SparkR related features (such as ml.feature.Interaction). We have supported RFormula as a wrapper at Python side, I think we should discuss the necessary to support other R related features at Python side.
- Missing classes
- ml.attribute
SPARK-8516 - ml.feature
- QuantileDiscretizer
SPARK-11922 - ChiSqSelector
SPARK-11923
- QuantileDiscretizer
- ml.classification
- OneVsRest
SPARK-7861
- OneVsRest
- ml.clustering
- LDA
SPARK-11940
- LDA
- mllib.clustering
- BisectingKMeans
SPARK-11944
- BisectingKMeans
- ml.attribute
- Missing methods/parameters
SPARK-11938- ml.classification
SPARK-11815SPARK-11820 - ml.feature
SPARK-11925 - ml.clustering
SPARK-11945 - mllib.linalg
SPARK-12040SPARK-12041 - mllib.stat.test.StreamingTest
SPARK-12042
- ml.classification
- Docs:
- ml.classification
SPARK-11875
- ml.classification
Attachments
Issue Links
- is related to
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SPARK-11604 ML 1.6 QA: API: Python API coverage
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- Resolved
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- relates to
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SPARK-12810 PySpark CrossValidatorModel should support avgMetrics
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- Resolved
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There are no Sub-Tasks for this issue.