Package com.tibco.patterns.learn.modelconfig

Class STFixed

  • public final class STFixed
extends SubsetTrainConfig
    Specifies training up to a fixed depth of subsets, defined by percentage of missing information in the subset. Immutable class. Synthetic examples are always generated for these subsets, and never generated for subsets of greater depth. Default missing info limit is 0.25.

    • Constructor Summary

      Constructors 
      Constructor Description
      STFixed()
      Creates a new fixed depth subset training configuration with default parameters.
      STFixed​(double missingInfoLimit)
      Creates a new fixed depth subset training configuration with custom parameters.

    • Constructor Detail

      • STFixed

        public STFixed()
        Creates a new fixed depth subset training configuration with default parameters.

      • STFixed

        public STFixed​(double missingInfoLimit)
        Creates a new fixed depth subset training configuration with custom parameters. Sets the maximum percentage of values that may be missing in a generated training example for a subset.
        Parameters:
        missingInfoLimit - - the missing information limit.
        Throws:
        java.lang.IllegalArgumentException - if the missing info limit is not between 0 and 1.

    • Method Detail

      • copy

        public SubsetTrainConfig copy()
        Description copied from class: SubsetTrainConfig
        Copies this object to a new object. Assumes that some subclasses may be mutable.
        Specified by:
        copy in class SubsetTrainConfig
        Returns:
        a deep copy of this object. An object of appropriate subclass is returned.

      • getMissingInfoLimit

        public double getMissingInfoLimit()
        Returns:
        missing information limit stored in this object.