Documentation API of the '' Java class

Interface MLDataPair

  • All Known Subinterfaces:
    All Known Implementing Classes:
    BasicMLDataPair, BasicNeuralDataPair, ClusterRow

    public interface MLDataPair
    Training data is stored in two ways, depending on if the data is for supervised, or unsupervised training. For unsupervised training just an input value is provided, and the ideal output values are null. For supervised training both input and the expected ideal outputs are provided. This interface abstracts classes that provide a holder for both of these two data items.

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