Uses of Class
gov.sandia.cognition.util.AbstractRandomized

Packages that use AbstractRandomized

Package	Description
gov.sandia.cognition.learning.algorithm.annealing	Provides the Simulated Annealing algorithm.
gov.sandia.cognition.learning.algorithm.clustering	Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.clustering.initializer	Provides implementations of methods for selecting initial clusters.
gov.sandia.cognition.learning.algorithm.genetic.reproducer	Provides reproduction functions for use with a Genetic Algorithm.
gov.sandia.cognition.learning.algorithm.tree	Provides decision tree learning algorithms.
gov.sandia.cognition.learning.data	Provides data set utilities for learning.
gov.sandia.cognition.learning.data.feature	Provides data feature extractors.
gov.sandia.cognition.learning.experiment	Provides experiments for validating the performance of learning algorithms.
gov.sandia.cognition.learning.function.vector	Provides functions that output vectors.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.util	Provides general utility classes.

Uses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.annealing

Subclasses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.annealing

Modifier and Type	Class and Description
class	VectorizablePerturber The VectorizablePerturber implements a Perturber for Vectorizable objects.

Uses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.clustering

Subclasses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.clustering

Modifier and Type	Class and Description
class	KMeansFactory Creates a parallelized version of the k-means clustering algorithm for the typical use: clustering vector data with a Euclidean distance metric.

Uses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.clustering.initializer

Subclasses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.clustering.initializer

Modifier and Type	Class and Description
class	NeighborhoodGaussianClusterInitializer Creates GaussianClusters near existing, but not on top of, data points.
class	RandomClusterInitializer<ClusterType extends Cluster<DataType>,DataType> Creates initial clusters by selecting random data points as singleton clusters.

Uses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.genetic.reproducer

Subclasses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.genetic.reproducer

Modifier and Type	Class and Description
class	VectorizableCrossoverFunction The VectorizableCrossoverFunction class is a CrossoverFunction that takes two Vectorizable.

Uses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.tree

Subclasses of AbstractRandomized in gov.sandia.cognition.learning.algorithm.tree

Modifier and Type	Class and Description
class	RandomSubVectorThresholdLearner<OutputType> Learns a decision function by taking a randomly sampling a subspace from a given set of input vectors and then learning a threshold function by passing the subspace vectors to a sublearner.

Uses of AbstractRandomized in gov.sandia.cognition.learning.data

Subclasses of AbstractRandomized in gov.sandia.cognition.learning.data

Modifier and Type	Class and Description
class	RandomDataPartitioner<DataType> The RandomDataPartitioner class implements a randomized data partitioner that takes a collection of data and randomly splits it into training and testing sets based on a fixed percentage of training data.

Uses of AbstractRandomized in gov.sandia.cognition.learning.data.feature

Subclasses of AbstractRandomized in gov.sandia.cognition.learning.data.feature

Modifier and Type	Class and Description
class	RandomSubspace Selects a random subspace from the given vector, which is a random set of indices.

Uses of AbstractRandomized in gov.sandia.cognition.learning.experiment

Subclasses of AbstractRandomized in gov.sandia.cognition.learning.experiment

Modifier and Type	Class and Description
class	CrossFoldCreator<DataType> The CrossFoldCreator implements a validation fold creator that creates folds for a typical k-fold cross-validation experiment.
class	RandomByTwoFoldCreator<DataType> A validation fold creator that takes a given collection of data and randomly splits it in half a given number of times, returning two folds for each split, using one half as training and the other half as testing.

Uses of AbstractRandomized in gov.sandia.cognition.learning.function.vector

Subclasses of AbstractRandomized in gov.sandia.cognition.learning.function.vector

Modifier and Type	Class and Description
class	ThreeLayerFeedforwardNeuralNetwork This is a "standard" feedforward neural network with a single hidden layer.

Uses of AbstractRandomized in gov.sandia.cognition.statistics.bayesian

Subclasses of AbstractRandomized in gov.sandia.cognition.statistics.bayesian

Modifier and Type	Class and Description
class	ImportanceSampling<ObservationType,ParameterType> Importance sampling is a Monte Carlo inference technique where we sample from an easy distribution over the hidden variables (parameters) and then weight the result by the ratio of the likelihood of the parameters given the evidence and the likelihood of generating the parameters.
class	RejectionSampling<ObservationType,ParameterType> Rejection sampling is a method of inferring hidden parameters by using an easy-to-sample-from distribution (times a scale factor) that envelopes another distribution that is difficult to sample from.

Uses of AbstractRandomized in gov.sandia.cognition.util

Methods in gov.sandia.cognition.util that return AbstractRandomized

Modifier and Type	Method and Description
AbstractRandomized	AbstractRandomized.clone()