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https://issues.apache.org/jira/browse/SPARK-7674?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14589353#comment-14589353
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Joseph K. Bradley commented on SPARK-7674:
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I'm not sure I understand your question. By "lots of them," do you mean that
testing a model on testData1 and testData2 will give us 2 copies of the model,
each with different test statistics but the same training statistics? The
duplicated training statistics could be a shallow copy, so I don't see a
problem there (though grouping somehow might be worthwhile). Let me know if
I'm misinterpreting.
> R-like stats for ML models
> --------------------------
>
> Key: SPARK-7674
> URL: https://issues.apache.org/jira/browse/SPARK-7674
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: Joseph K. Bradley
> Assignee: Joseph K. Bradley
> Priority: Critical
>
> This is an umbrella JIRA for supporting ML model summaries and statistics,
> following the example of R's summary() and plot() functions.
> [Design
> doc|https://docs.google.com/document/d/1oswC_Neqlqn5ElPwodlDY4IkSaHAi0Bx6Guo_LvhHK8/edit?usp=sharing]
> From the design doc:
> {quote}
> R and its well-established packages provide extensive functionality for
> inspecting a model and its results. This inspection is critical to
> interpreting, debugging and improving models.
> R is arguably a gold standard for a statistics/ML library, so this doc
> largely attempts to imitate it. The challenge we face is supporting similar
> functionality, but on big (distributed) data. Data size makes both efficient
> computation and meaningful displays/summaries difficult.
> R model and result summaries generally take 2 forms:
> * summary(model): Display text with information about the model and results
> on data
> * plot(model): Display plots about the model and results
> We aim to provide both of these types of information. Visualization for the
> plottable results will not be supported in MLlib itself, but we can provide
> results in a form which can be plotted easily with other tools.
> {quote}
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