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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/04/18 20:04:26 UTC
[jira] [Comment Edited] (SPARK-14377) Review spark.ml parity for
classification, except trees
[ https://issues.apache.org/jira/browse/SPARK-14377?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15244059#comment-15244059 ]
Joseph K. Bradley edited comment on SPARK-14377 at 4/18/16 6:03 PM:
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* ClassificationModel
** single-row prediction [SPARK-10413]
* LogisticRegression
** initialModel
** setValidateData (not important for public API)
** (for LBFGS)
*** pluggable objective and regularization function
*** numCorrections
* LogisticRegressionModel
** toString: print summary
* SVM
* PMML
was (Author: josephkb):
* ClassificationModel
** single-row prediction
* LogisticRegression
** initialModel
** setValidateData (not important for public API)
** (for LBFGS)
*** pluggable objective and regularization function
*** numCorrections
* LogisticRegressionModel
** toString: print summary
* SVM
* PMML
> 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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