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Apache Spark commented on SPARK-6255: ------------------------------------- User 'yanboliang' has created a pull request for this issue: https://github.com/apache/spark/pull/5137 > Python MLlib API missing items: Classification > ---------------------------------------------- > > Key: SPARK-6255 > URL: https://issues.apache.org/jira/browse/SPARK-6255 > Project: Spark > Issue Type: Sub-task > Components: MLlib, PySpark > Affects Versions: 1.3.0 > Reporter: Joseph K. Bradley > > This JIRA lists items missing in the Python API for this sub-package of MLlib. > This list may be incomplete, so please check again when sending a PR to add > these features to the Python API. > Also, please check for major disparities between documentation; some parts of > the Python API are less well-documented than their Scala counterparts. Some > items may be listed in the umbrella JIRA linked to this task. > LogisticRegressionWithLBFGS > * setNumClasses > * setValidateData > LogisticRegressionModel > * getThreshold > * numClasses > * numFeatures > SVMWithSGD > * setValidateData > SVMModel > * getThreshold -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org