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## org.encog.ml
Interface MLClassification

All Superinterfaces:
  MLInput, MLInputOutput, MLMethod, MLOutput

All Known Subinterfaces:
  EnsembleML

All Known Implementing Classes:
  ART1, BasicNetwork, BasicPNN, BayesianNetwork, FreeformNetwork, GenericEnsembleML, SOM, SVM

    public interface MLClassification

extends MLInputOutput

This interface defines a MLMethod that is used for classification. Classification defines the output to be a class. A MLMethod that uses classification is attempting to use the input to place items into classes. It is assumed that an item will only be in one single class. If an item can be in multiple classes, one option is to create additional classes that represent the compound classes.

Method Summary
`int` | `classify(MLData input)` Classify the input into a group.

Methods inherited from interface org.encog.ml.MLInput
`getInputCount`

Methods inherited from interface org.encog.ml.MLOutput
`getOutputCount`

Method Detail

### classify

    int classify(MLData input)

  Classify the input into a group.

  Parameters:
    `input` - The input data to classify.
  Returns:
    The group that the data was classified into.

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