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https://issues.apache.org/jira/browse/SPARK-14377?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15244059#comment-15244059
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Joseph K. Bradley edited comment on SPARK-14377 at 5/26/16 12:13 AM:
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* ClassificationModel
** single-row prediction [SPARK-10413]
* LogisticRegression
** multiclass [SPARK-7159]
** initialModel [SPARK-13025]
** setValidateData (not important for public API)
** (for LBFGS) --> These will be good to add, but I will not create JIRAs yet.
*** pluggable objective and regularization function
*** numCorrections
* LogisticRegressionModel
** toString: print summary [SPARK-14712]
* SVM [SPARK-14709]
* PMML [SPARK-11171]
was (Author: josephkb):
* ClassificationModel
** single-row prediction [SPARK-10413]
* LogisticRegression
** initialModel [SPARK-13025]
** setValidateData (not important for public API)
** (for LBFGS) --> These will be good to add, but I will not create JIRAs yet.
*** pluggable objective and regularization function
*** numCorrections
* LogisticRegressionModel
** toString: print summary [SPARK-14712]
* SVM [SPARK-14709]
* PMML [SPARK-11171]
> Review spark.ml parity for classification, except trees
> -------------------------------------------------------
>
> Key: SPARK-14377
> URL: https://issues.apache.org/jira/browse/SPARK-14377
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Joseph K. Bradley
> Assignee: Joseph K. Bradley
>
> 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.
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