[jira] [Resolved] (SPARK-20631) LogisticRegression._checkThresholdConsistency should use values not Params

["Yanbo Liang (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-20631?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yanbo Liang resolved SPARK-20631.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0
                   2.1.2
                   2.0.3

> LogisticRegression._checkThresholdConsistency should use values not Params
> --------------------------------------------------------------------------
>
>                 Key: SPARK-20631
>                 URL: https://issues.apache.org/jira/browse/SPARK-20631
>             Project: Spark
>          Issue Type: Bug
>          Components: ML, PySpark
>    Affects Versions: 2.2.0
>            Reporter: Maciej Szymkiewicz
>            Assignee: Maciej Szymkiewicz
>            Priority: Minor
>             Fix For: 2.0.3, 2.1.2, 2.2.0
>
>
> {{_checkThresholdConsistency}} incorrectly uses {{getParam}} in attempt to access {{threshold}} and {{thresholds}} values. Furthermore it calls it with {{Param}} instead of {{str}}:
> {code}
> >>> from pyspark.ml.classification import LogisticRegression
> >>> lr = LogisticRegression(threshold=0.25, thresholds=[0.75, 0.25])
> Traceback (most recent call last):
> ...
> TypeError: getattr(): attribute name must be string
> {code}
> Finally exception message uses {{join}} without converting values to {{str}}.



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