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https://issues.apache.org/jira/browse/SPARK-4036?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Philpot updated SPARK-4036:
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Attachment: sample-output
sample-input
features.hair-eye
dig-hair-eye-train.model
I attach a feature file, model file, input data, and output data from
CRF++. There may be odd UTF-8 issues, but our real pipeline addresses them
in ways not fully represented in this data sample, in case you see anything
related to that.
[David, this person is working on CRF natively (scala) for Spark. FYI]
Thank you,
Andrew
--
Andrew Philpot
[email protected]
> Add Conditional Random Fields (CRF) algorithm to Spark MLlib
> ------------------------------------------------------------
>
> Key: SPARK-4036
> URL: https://issues.apache.org/jira/browse/SPARK-4036
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Guoqiang Li
> Assignee: Kai Sasaki
> Attachments: CRF_design.1.pdf, dig-hair-eye-train.model,
> features.hair-eye, sample-input, sample-output
>
>
> Conditional random fields (CRFs) are a class of statistical modelling method
> often applied in pattern recognition and machine learning, where they are
> used for structured prediction.
> The paper:
> http://www.seas.upenn.edu/~strctlrn/bib/PDF/crf.pdf
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