## Uses of Class
org.apache.ignite.ml.dataset.feature.extractor.ExtractionUtils.DefaultLabelVectorizer

- Packages that use ExtractionUtils.DefaultLabelVectorizer
  Package | Description
  --- | ---
  org.apache.ignite.ml.dataset.feature.extractor | Package for upstream object vectorizations.
  org.apache.ignite.ml.dataset.feature.extractor.impl | Package contains default implementations of `Vectorizer`.

- - ### Uses of ExtractionUtils.DefaultLabelVectorizer in org.apache.ignite.ml.dataset.feature.extractor

    Subclasses of ExtractionUtils.DefaultLabelVectorizer in org.apache.ignite.ml.dataset.feature.extractor
    Modifier and Type | Class and Description
    --- | ---
    `static class` | `ExtractionUtils.ArrayLikeVectorizer<K,V>` Vectorizer extracting vectors from array-like structure with finite size and integer coordinates.
    `static class` | `ExtractionUtils.IntCoordVectorizer<K,V>` Vectorizer with integer coordinates.
    `static class` | `ExtractionUtils.StringCoordVectorizer<K,V>` Vectorizer with String-coordinates.

  - ### Uses of ExtractionUtils.DefaultLabelVectorizer in org.apache.ignite.ml.dataset.feature.extractor.impl

    Subclasses of ExtractionUtils.DefaultLabelVectorizer in org.apache.ignite.ml.dataset.feature.extractor.impl
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BinaryObjectVectorizer<K>` Vectorizer on binary objects.
    `class` | `DoubleArrayVectorizer<K>` Vectorizer on arrays of doubles.
    `class` | `DummyVectorizer<K>` Vectorizer on Vector.

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Release Date | : September 11 2021