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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1719) Add naive Bayes classification algorithm to machine learning library
Date Thu, 19 May 2016 01:03:12 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1719?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15290211#comment-15290211

ASF GitHub Bot commented on FLINK-1719:

Github user danielblazevski commented on the pull request:

    Should the input be DataSets of Strings?  The documentation, syntax are heavy on the side
of dealing exclusively with text classification.  Could just be me since don't come from an
NLP background, and this made is less clear to read the logic of the code, e.g. I'm more used
to applying numeric values for Bayes.  See, e.g. examples of using Bayes in scikit-learn:
http://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html.  I presume
the goal of this issue would be to apply to contexts outside of text classification and allow
for users to apply the Bayes to numeric data like the scikit-learn example.  Correct me if
I'm wrong @tillrohrmann @chiwanpark 

> Add naive Bayes classification algorithm to machine learning library
> --------------------------------------------------------------------
>                 Key: FLINK-1719
>                 URL: https://issues.apache.org/jira/browse/FLINK-1719
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Jonathan Hasenburg
>              Labels: ML
> Add naive Bayes algorithm to Flink's machine learning library as a basic classification
algorithm. Maybe we can incorporate some of the improvements developed by [Karl-Michael Schneider|http://citeseerx.ist.psu.edu/viewdoc/download?doi=],
[Sang-Bum Kim et al.|http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1704799] or
[Jason Rennie et al.|http://people.csail.mit.edu/jrennie/papers/icml03-nb.pdf] into the implementation.

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