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https://issues.apache.org/jira/browse/FLINK-4886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15598091#comment-15598091
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ASF GitHub Bot commented on FLINK-4886:
---------------------------------------
GitHub user ch33hau opened a pull request:
https://github.com/apache/flink/pull/2682
[FLINK-4886] [docs] Update ML quickstart loading svm test data example
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- [X] General
- The pull request references the related JIRA issue ("[FLINK-4886]
Example in Machine Learning Quickstart Guide causes error")
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- [X] Documentation
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- Functionality added by the pull request is covered by tests
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You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ch33hau/flink update-ml-quickstart
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/2682.patch
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This closes #2682
----
commit de49683e7e4724e7db8e7a90aa17701d11cf4794
Author: ch33hau <ch33...@gmail.com>
Date: 2016-10-22T16:13:52Z
[FLINK-4886] [docs] Update ML quickstart loading svm test data example
----
> Example in Machine Learning Quickstart Guide causes error
> ---------------------------------------------------------
>
> Key: FLINK-4886
> URL: https://issues.apache.org/jira/browse/FLINK-4886
> Project: Flink
> Issue Type: Bug
> Components: Documentation
> Reporter: Lim Chee Hau
> Priority: Minor
>
> Under *Loading Data/LibSVM* files section, loading test data with below line
> will causes error when execute prediction method *svm.predict(astroTest)*:
> {code}
> val astroTest: DataSet[LabeledVector] =
> MLUtils.readLibSVM("/path/to/svmguide1.t")
> {code}
> Error will be looks like:
> {noformat}
> Exception in thread "main" java.lang.RuntimeException: There is no
> PredictOperation defined for org.apache.flink.ml.classification.SVM which
> takes a DataSet[org.apache.flink.ml.common.LabeledVector] as input.
> at
> org.apache.flink.ml.pipeline.Estimator$$anon$1.predictDataSet(Estimator.scala:113)
> at
> org.apache.flink.ml.pipeline.Predictor$class.predict(Predictor.scala:59)
> at org.apache.flink.ml.classification.SVM.predict(SVM.scala:131)
> at org.apache.flink.quickstart.BatchJob$.main(BatchJob.scala:116)
> at org.apache.flink.quickstart.BatchJob.main(BatchJob.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
> {noformat}
> Because *predict* method expects *DataSet\[Vector\]* instead of
> *DataSet\[LabeledVector\]*, loading test data with below line will solve the
> problem:
> {code}
> val astroTest: DataSet[Vector] =
> MLUtils.readLibSVM("/path/to/svmguide1.t").map(_.vector)
> {code}
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