Uses of Class
smile.gap.BitString

Packages that use BitString

Package	Description
smile.feature	Feature generation, normalization and selection.
smile.gap	Genetic algorithm and programming.

Uses of BitString in smile.feature

Methods in smile.feature that return BitString

Modifier and Type	Method and Description
BitString[]	GAFeatureSelection.learn(int size, int generation, ClassifierTrainer<double[]> trainer, ClassificationMeasure measure, double[][] x, int[] y, double[][] testx, int[] testy) Genetic algorithm based feature selection for classification.
BitString[]	GAFeatureSelection.learn(int size, int generation, ClassifierTrainer<double[]> trainer, ClassificationMeasure measure, double[][] x, int[] y, int k) Genetic algorithm based feature selection for classification.
BitString[]	GAFeatureSelection.learn(int size, int generation, RegressionTrainer<double[]> trainer, RegressionMeasure measure, double[][] x, double[] y, double[][] testx, double[] testy) Genetic algorithm based feature selection for regression.
BitString[]	GAFeatureSelection.learn(int size, int generation, RegressionTrainer<double[]> trainer, RegressionMeasure measure, double[][] x, double[] y, int k) Genetic algorithm based feature selection for regression.

Uses of BitString in smile.gap

Methods in smile.gap that return BitString

Modifier and Type	Method and Description
BitString[]	BitString.crossover(Chromosome another)
BitString	BitString.newInstance()

Constructor parameters in smile.gap with type arguments of type BitString

Constructor and Description
BitString(int[] bits, FitnessMeasure<BitString> measure) Constructor.
BitString(int[] bits, FitnessMeasure<BitString> measure, BitString.Crossover crossover, double crossoverRate, double mutationRate) Constructor.
BitString(int length, FitnessMeasure<BitString> measure) Constructor.
BitString(int length, FitnessMeasure<BitString> measure, BitString.Crossover crossover, double crossoverRate, double mutationRate) Constructor.