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https://issues.apache.org/jira/browse/FLINK-2116?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14571286#comment-14571286
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Mikio Braun commented on FLINK-2116:
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Just to add my five cents here. In my mind, the evaluation optimized by the
learning method and the evluation as defined by the learning problem at
hand are two separate things.
So it's ok to add this here, but we also need to be able to compute other
perf measures.
Long term, i think we need some "learning problen class" which defines also
how performance is measured.
ASF GitHub Bot (JIRA) <[email protected]> schrieb am Mi., 3. Juni 2015 um
> Make pipeline extension require less coding
> -------------------------------------------
>
> Key: FLINK-2116
> URL: https://issues.apache.org/jira/browse/FLINK-2116
> Project: Flink
> Issue Type: Improvement
> Components: Machine Learning Library
> Reporter: Mikio Braun
> Assignee: Till Rohrmann
> Priority: Minor
>
> Right now, implementing methods from the pipelines for new types, or even
> adding new methods to pipelines requires many steps:
> 1) implementing methods for new types
> implement implicit of the corresponding class encapsulating the operation
> in the companion object
> 2) adding methods to the pipeline
> - adding a method
> - adding a trait for the operation
> - implement implicit in the companion object
> These are all objects which contain many generic parameters, so reducing the
> work would be great.
> The goal should be that you can really focus on the code to add, and have as
> little boilerplate code as possible.
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