[jira] [Updated] (IGNITE-11655) ML: OneHotEncoder returns more columns than expected

["Anton Dmitriev (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IGNITE-11655?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Anton Dmitriev updated IGNITE-11655:
------------------------------------
    Component/s: ml

> ML: OneHotEncoder returns more columns than expected
> ----------------------------------------------------
>
>                 Key: IGNITE-11655
>                 URL: https://issues.apache.org/jira/browse/IGNITE-11655
>             Project: Ignite
>          Issue Type: Bug
>          Components: ml
>            Reporter: Anton Dmitriev
>            Priority: Major
>
> OneHotEncoder returns more columns than expected (two values that might be encoded using two columns encoded using 3 columns). The following example demonstrates the problem:
> Map<Integer, Object[]> training = new HashMap<>();
>         training.put(0, new Object[]{42.0});
>         training.put(1, new Object[]{43.0});
>         training.put(2, new Object[]{42.0});
>         EncoderTrainer<Integer, Object[]> trainer = new EncoderTrainer<Integer, Object[]>()
>             .withEncoderType(EncoderType.ONE_HOT_ENCODER)
>             .withEncodedFeature(0);
>         IgniteBiFunction<Integer, Object[], Vector> processor = trainer.fit(training, 1, (k, v) -> v);
>         Vector res = processor.apply(1, new Object[]{42.0});
>         System.out.println(Arrays.toString(res.asArray()));
> >>> [0.0, 1.0, 0.0]



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