[jira] [Resolved] (SPARK-14604) Modify design of ML model summaries

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-14604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-14604.
----------------------------------
    Resolution: Incomplete

> Modify design of ML model summaries
> -----------------------------------
>
>                 Key: SPARK-14604
>                 URL: https://issues.apache.org/jira/browse/SPARK-14604
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Joseph K. Bradley
>            Priority: Major
>              Labels: bulk-closed
>
> Several spark.ml models now have summaries containing evaluation metrics and training info:
> * LinearRegressionModel
> * LogisticRegressionModel
> * GeneralizedLinearRegressionModel
> These summaries have unfortunately been added in an inconsistent way.  I propose to reorganize them to have:
> * For each model, 1 summary (without training info) and 1 training summary (with info from training).  The non-training summary can be produced for a new dataset via {{evaluate}}.
> * A summary should not store the model itself as a public field.
> * A summary should provide a transient reference to the dataset used to produce the summary.
> This task will involve reorganizing the GLM summary (which lacks a training/non-training distinction) and deprecating the model method in the LinearRegressionSummary.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org