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https://issues.apache.org/jira/browse/SPARK-6255?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-6255:
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Description:
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
* threshold
* numClasses
* numFeatures
SVMWithSGD
* setValidateData
SVMModel
* threshold
(updated to use "threshold" property instead of "getThreshold")
was:
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
> 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
> Assignee: Yanbo Liang
>
> 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
> * threshold
> * numClasses
> * numFeatures
> SVMWithSGD
> * setValidateData
> SVMModel
> * threshold
> (updated to use "threshold" property instead of "getThreshold")
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