Details
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Sub-task
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Status: Resolved
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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
Review parity of spark.ml vs. spark.mllib to ensure spark.ml contains all functionality. List all missing items.
This only covers Scala since we can compare Scala vs. Python in spark.ml itself.
Attachments
Issue Links
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SPARK-7159 Support multiclass logistic regression in spark.ml
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- Resolved
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SPARK-11171 PMML for Pipelines API
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- Resolved
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SPARK-14709 spark.ml API for linear SVM
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- Resolved
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SPARK-13025 Allow user to specify the initial model when training LogisticRegression
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- Resolved
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SPARK-14712 spark.ml LogisticRegressionModel.toString should summarize model
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- Resolved
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SPARK-10413 ML models should support prediction on single instances
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- Resolved
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