Package ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac

Class Normalizer

  • public class Normalizer
extends java.lang.Object

    • Constructor Summary

      Constructors 
      Constructor Description
      Normalizer​(java.util.List<ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes.ProblemInstance<weka.core.Instance>> list)  

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      double[] normalize​(double[] vectorToNormalize)  
      void setupnormalize()  

      • Methods inherited from class java.lang.Object

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

    • Constructor Detail

      • Normalizer

        public Normalizer​(java.util.List<ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes.ProblemInstance<weka.core.Instance>> list)
        Parameters:
        list -

    • Method Detail

      • setupnormalize

        public void setupnormalize()

      • normalize

        public double[] normalize​(double[] vectorToNormalize)
        Parameters:
        vectorToNormalize -
        Returns: