Documentation of 'Catalano.MachineLearning.Classification.MinimumMeanDistance' Java class
MinimumMeanDistance
Catalano.MachineLearning.Classification

Class MinimumMeanDistance

  • All Implemented Interfaces:
    IClassifier, java.lang.Cloneable


    public class MinimumMeanDistance
    extends java.lang.Object
    implements IClassifier
    Minimum Mean Distance classifier.
    • Constructor Detail

      • MinimumMeanDistance

        public MinimumMeanDistance()
        Initialize a new instance of the MinimumMeanDistance class.
      • MinimumMeanDistance

        public MinimumMeanDistance(IDivergence divergence)
        Initialize a new instance of the MinimumMeanDistance class.
        Parameters:
        divergence - Divergence.
    • Method Detail

      • Learn

        public void Learn(double[][] input,
                          int[] output)
        Description copied from interface: IClassifier
        Learn.
        Specified by:
        Learn in interface IClassifier
        Parameters:
        input - Matrix of features.
        output - Labels.
      • Predict

        public int Predict(double[] feature)
        Description copied from interface: IClassifier
        Predict.
        Specified by:
        Predict in interface IClassifier
        Parameters:
        feature - Feature.
        Returns:
        Label.
      • clone

        public IClassifier clone()
        Description copied from interface: IClassifier
        Clone of the object.
        Specified by:
        clone in interface IClassifier
        Overrides:
        clone in class java.lang.Object
        Returns:
        A new copy of the object.

DataMelt 3.0 © DataMelt by jWork.ORG

You see the box below because you did not login.