## Uses of Interface
org.encog.ensemble.EnsembleMLMethodFactory

- Packages that use EnsembleMLMethodFactory
  Package | Description
  --- | ---
  org.encog.ensemble |
  org.encog.ensemble.adaboost |
  org.encog.ensemble.aggregator |
  org.encog.ensemble.bagging |
  org.encog.ensemble.ml.mlp.factory |
  org.encog.ensemble.stacking |

- - ### Uses of EnsembleMLMethodFactory in org.encog.ensemble

    Fields in org.encog.ensemble declared as EnsembleMLMethodFactory
    Modifier and Type | Field and Description
    --- | ---
    `protected EnsembleMLMethodFactory` | Ensemble.`mlFactory`

  - ### Uses of EnsembleMLMethodFactory in org.encog.ensemble.adaboost

    Constructors in org.encog.ensemble.adaboost with parameters of type EnsembleMLMethodFactory
    Constructor and Description
    `AdaBoost(int iterationsT, int dataSetSize, EnsembleMLMethodFactory mlFactory, EnsembleTrainFactory trainFactory, EnsembleAggregator aggregator)`

  - ### Uses of EnsembleMLMethodFactory in org.encog.ensemble.aggregator

    Constructors in org.encog.ensemble.aggregator with parameters of type EnsembleMLMethodFactory
    Constructor and Description
    `MetaClassifier(double trainError, EnsembleMLMethodFactory mlFact, EnsembleTrainFactory etFact)`

  - ### Uses of EnsembleMLMethodFactory in org.encog.ensemble.bagging

    Constructors in org.encog.ensemble.bagging with parameters of type EnsembleMLMethodFactory
    Constructor and Description
    `Bagging(int splits, int dataSetSize, EnsembleMLMethodFactory mlFactory, EnsembleTrainFactory trainFactory, EnsembleAggregator aggregator)`

  - ### Uses of EnsembleMLMethodFactory in org.encog.ensemble.ml.mlp.factory

    Classes in org.encog.ensemble.ml.mlp.factory that implement EnsembleMLMethodFactory
    Modifier and Type | Class and Description
    --- | ---
    `class` | `MultiLayerPerceptronFactory`

  - ### Uses of EnsembleMLMethodFactory in org.encog.ensemble.stacking

    Constructors in org.encog.ensemble.stacking with parameters of type EnsembleMLMethodFactory
    Constructor and Description
    `Stacking(int splits, int dataSetSize, EnsembleMLMethodFactory mlFactory, EnsembleTrainFactory trainFactory, EnsembleAggregator aggregator)`

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