[jira] [Closed] (FLINK-4438) FlinkML Quickstart Guide implies incorrect type for test data

["Dong Lin (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-4438?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dong Lin closed FLINK-4438.
---------------------------
    Release Note: I am closing this ticket since there is no longer LibSVM in Flink ML 2.0 and later versions.
      Resolution: Invalid

> FlinkML Quickstart Guide implies incorrect type for test data
> -------------------------------------------------------------
>
>                 Key: FLINK-4438
>                 URL: https://issues.apache.org/jira/browse/FLINK-4438
>             Project: Flink
>          Issue Type: Bug
>          Components: Documentation, Library / Machine Learning
>    Affects Versions: 1.2.0
>            Reporter: Ahmad Ragab
>            Priority: Not a Priority
>
> https://ci.apache.org/projects/flink/flink-docs-master/apis/batch/libs/ml/quickstart.html
> Documentation under *LibSVM* section says that:
> ----
> We can simply import the dataset then using:
> {code:java}
> import org.apache.flink.ml.MLUtils
> val astroTrain: DataSet[LabeledVector] = MLUtils.readLibSVM("/path/to/svmguide1")
> val astroTest: DataSet[LabeledVector] = MLUtils.readLibSVM("/path/to/svmguide1.t")
> {code}
> This gives us two {{DataSet\[LabeledVector\]}} objects that we will use in the following section to create a classifier.
> ----
> Test data wouldn't be of type {{LabeledVector}} generally, it would be as it is described in other examples as {{DataSet\[Vector\]}} since prediction should generate the labels. Thus after reading the file using {{MLUtils}} it should be mapped to a vector.
> Also, the previous section in *Loading Data* should include an example of using the {{Splitter}} in order to prepare the {{survivalLV}} data for use with a learner. 



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