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https://issues.apache.org/jira/browse/MAHOUT-18?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12580254#action_12580254
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Isabel Drost commented on MAHOUT-18:
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> How does this relate to MAHOUT-8? Seems like that is a similar thing, trying
> to define common I/O, or am I misinterpreting?
I think this is misinterpreted. Maybe the explanation on the PMML website helps:
PMML describes the inputs to data mining models, the transformations used prior
to prepare data for data mining, and the parameters which define the models
themselves.
I wonder whether "the inputs" here means meta information to input data or the
dataset itself.
According to the FAQ is implemented by JSR-73 (see Mahout-8):
> PMML is complementary to many other data mining standards. It's XML
> interchange formats is supported by several other standards, such as
> XML for Analysis, JSR 73, and SQL/MM Part 6: Data Mining.
Karl, you had a look at the FAQ, can you confirm this?
> What are the criteria that we should use to decide which formats to support?
I think one criterion should be how expressive the format is, the second should
be the number of tools supporting the format. Of course there is an obvious
criterion as well: The format should at least be open ;)
The group developing the format is part of the standards group xml.org, so
there is some standardization process backing it up.
I what is supported by the format and what cannot be expressed.
> Embrace interoperability with other softwares
> ---------------------------------------------
>
> Key: MAHOUT-18
> URL: https://issues.apache.org/jira/browse/MAHOUT-18
> Project: Mahout
> Issue Type: New JIRA Project
> Reporter: Shunkai Fu
> Priority: Minor
>
> This is an open issue. It is related with all possible components existing or
> to born in the future.
> ML or DM models normally have two phases: training and scoring (or
> predicting). If we agree "updating" is an independent one, we will have 3
> phases.
> There are many softwares about ML/DM outside. We want the users of Mahout be
> able to import models got built from other software here, update them and/or
> use them for scoring. To achieve this goal, we need to recognize the commonly
> used formats.
> Besides, users may choose Mahout because Mahout is speedy in learning. After
> a model is ready, they may export the model trained, view it with some
> visualization tool, or import it into other software or application for
> scoring (or predicting). In this case, exporting into widely recognized
> format is expected.
> Finally, I want to say that the importing and exporting will not influence
> the ongoing projects, so developers of other components need not worry about
> this.
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