org.apache.ignite.ml.trainers

## Class MultiLabelDatasetTrainer<M extends IgniteModel>

- java.lang.Object
- - org.apache.ignite.ml.trainers.DatasetTrainer<M,double[]>
  - - org.apache.ignite.ml.trainers.MultiLabelDatasetTrainer<M>

- Type Parameters:
    `M` - Type of a produced model.
  Direct Known Subclasses:
    MLPTrainer

      public abstract class MultiLabelDatasetTrainer<M extends IgniteModel>
      extends DatasetTrainer<M,double[]>

  Interface for trainers that trains on dataset with multiple label per object.

- - ### Nested Class Summary

    - ### Nested classes/interfaces inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

      `DatasetTrainer.EmptyDatasetException`

  - ### Field Summary

    - ### Fields inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

      `envBuilder, environment`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `MultiLabelDatasetTrainer()`

  - ### Method Summary

    - ### Methods inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

      `fit, fit, fit, fit, fit, fit, fitWithInitializedDeployingContext, getLastTrainedModelOrThrowEmptyDatasetException, identityTrainer, isUpdateable, learningEnvironment, update, update, update, update, update, updateModel, withConvertedLabels, withEnvironmentBuilder`

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### MultiLabelDatasetTrainer

          public MultiLabelDatasetTrainer()

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Ignite Database and Caching Platform | : ver. 2.15.0
Release Date | : April 25 2023