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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-9664) FlinkML Quickstart Loading Data section example doesn't work as described
Date Thu, 09 Aug 2018 07:59:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-9664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16574442#comment-16574442

ASF GitHub Bot commented on FLINK-9664:

azagrebin commented on a change in pull request #6425: [FLINK-9664][Doc] fixing documentation
in ML quick start
URL: https://github.com/apache/flink/pull/6425#discussion_r208837648

 File path: docs/dev/libs/ml/quickstart.md
 @@ -129,6 +129,10 @@ and the [test set here](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/b
 This is an astroparticle binary classification dataset, used by Hsu et al. [[3]](#hsu) in
 practical Support Vector Machine (SVM) guide. It contains 4 numerical features, and the class
+Before importing the traning and test dataset, Flink SVM only supports threshold binary values
+`+1.0` and `-1.0`. Thus a conversion is needed upon downloading the svmguide1 dataset since
it is 
+labelled using `1`s and `0`s.
 Review comment:
   By sections I mean `LibSVM files` and `Classification` parts of `quickstart.md`.
   I think your explanation of why we need the conversion was good, expanded enough, I just
suggested to rephrase its start a bit to be moved to the beginning of `Classification` section.
The example of conversion can follow your explanation. The overall structure I suggest:
   *LibSVM files*
   ...Text as before...
   ((( leave only lib SVM importing specifics in this example: )))
   val astroTrainLibSVM: DataSet[LabeledVector] = MLUtils.readLibSVM(env, "/path/to/svmguide1")
   val astroTestLibSVM: DataSet[LabeledVector] = MLUtils.readLibSVM(env, "/path/to/svmguide1.t")
   ...Text as before..
   ...Explanation of conversion need before classification...:
   // conversion code example, e.g. which I suggested
   ...section continues as it was with classification description and its example..
   The idea is that at the end user can just copy/paste code snippets starting from the import
code, then conversion/normalisation, then classification etc and it eventually works altogether.

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> FlinkML Quickstart Loading Data section example doesn't work as described
> -------------------------------------------------------------------------
>                 Key: FLINK-9664
>                 URL: https://issues.apache.org/jira/browse/FLINK-9664
>             Project: Flink
>          Issue Type: Bug
>          Components: Documentation, Machine Learning Library
>    Affects Versions: 1.5.0
>            Reporter: Mano Swerts
>            Assignee: Rong Rong
>            Priority: Major
>              Labels: documentation-update, machine_learning, ml, pull-request-available
>   Original Estimate: 1h
>  Remaining Estimate: 1h
> The ML documentation example isn't complete: [https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/libs/ml/quickstart.html#loading-data]
> The referred section loads data from an astroparticle binary classification dataset
to showcase SVM. The dataset uses 0 and 1 as labels, which doesn't produce correct results.
The SVM predictor expects -1 and 1 labels to correctly predict the label. The documentation,
however, doesn't mention that. The example therefore doesn't work without a clue why.
> The documentation should be updated with an explicit mention to -1 and 1 labels and a
mapping function that shows the conversion of the labels.

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