Search Java Classes and Packages
#Org.encog.ml Classes and Interfaces - 344 results found.
| Name | Description | Type | Package | Framework |
| AbstractGenomeComparator | Provides base functionality for comparing genomes. | Class | org.encog.ml.ea.sort | HeatonReasearch |
| AbstractGraphSearch | Class | org.encog.ml.graph.search | HeatonReasearch | |
| AbstractPrgGenerator | The abstract base for Full and Grow program generation. | Class | org.encog.ml.prg.generator | HeatonReasearch |
| Action | Interface | org.encog.ml.world | HeatonReasearch | |
| ActionNode | Class | org.encog.ml.schedule | HeatonReasearch | |
| ActionProbability | Interface | org.encog.ml.world | HeatonReasearch | |
| AdjustScore | Score adjusters adjust the score according to some means. | Interface | org.encog.ml.ea.score | HeatonReasearch |
| AgentPolicy | Interface | org.encog.ml.world | HeatonReasearch | |
| AnnealFactory | A factory to create simulated annealing trainers. | Class | org.encog.ml.factory.train | HeatonReasearch |
| ArchitectureLayer | Holds the parse results for one layer. | Class | org.encog.ml.factory.parse | HeatonReasearch |
| ArchitectureParse | This class is used to parse a Encog architecture string. | Class | org.encog.ml.factory.parse | HeatonReasearch |
| ArrayDataCODEC | A CODEC used for arrays. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| ArrayGenome | An array genome represents an array of "something", this allows array operators such as crossover and mutate to work on the genome. | Interface | org.encog.ml.genetic.genome | HeatonReasearch |
| AStarSearch | Class | org.encog.ml.graph.search | HeatonReasearch | |
| AutoFloatColumn | Class | org.encog.ml.data.auto | HeatonReasearch | |
| AutoFloatDataSet | Class | org.encog.ml.data.auto | HeatonReasearch | |
| BackPropFactory | A factory for backpropagation training. | Class | org.encog.ml.factory.train | HeatonReasearch |
| BaseBaumWelch | This class provides the base implementation for Baum-Welch learning for HMM's. | Class | org.encog.ml.hmm.train.bw | HeatonReasearch |
| BasicAction | Class | org.encog.ml.world.basic | HeatonReasearch | |
| BasicAgent | Class | org.encog.ml.world.basic | HeatonReasearch | |
| BasicCluster | Holds a cluster of MLData items that have been clustered by the KMeansClustering class. | Class | org.encog.ml.kmeans | HeatonReasearch |
| BasicEA | Provides a basic implementation of a multi-threaded Evolutionary Algorithm. | Class | org.encog.ml.ea.train.basic | HeatonReasearch |
| BasicEdge | Class | org.encog.ml.graph | HeatonReasearch | |
| BasicGenome | A basic abstract genome. | Class | org.encog.ml.ea.genome | HeatonReasearch |
| BasicGraph | Class | org.encog.ml.graph | HeatonReasearch | |
| BasicML | A class that provides basic property functionality for the MLPropertiesSee Also:Serialized Form | Class | org.encog.ml | HeatonReasearch |
| BasicMLComplexData | This class implements a data object that can hold complex numbers. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLData | Basic implementation of the MLData interface that stores the data in anAuthor:jheatonSee Also:Serialized Form | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLDataCentroid | A basic implementation of a centroid. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLDataPair | A basic implementation of the MLDataPair interface. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLDataPairCentroid | A centroid for BasicMLDataPair. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLDataSet | Stores data in an ArrayList. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLSequenceSet | A basic implementation of the MLSequenceSet. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicNode | Class | org.encog.ml.graph | HeatonReasearch | |
| BasicNormalizationStrategy | Provides a basic normalization strategy that will work with most models built into Encog. | Class | org.encog.ml.data.versatile.normalizers.strategies | HeatonReasearch |
| BasicPath | Class | org.encog.ml.graph | HeatonReasearch | |
| BasicPopulation | Defines the basic functionality for a population of genomes. | Class | org.encog.ml.ea.population | HeatonReasearch |
| BasicQuery | Provides basic functionality for a Bayesian query. | Class | org.encog.ml.bayesian.query | HeatonReasearch |
| BasicRuleHolder | Basic implementation of a rule holder. | Class | org.encog.ml.ea.rules | HeatonReasearch |
| BasicSpecies | Provides basic functionality for a species. | Class | org.encog.ml.ea.species | HeatonReasearch |
| BasicState | Class | org.encog.ml.world.basic | HeatonReasearch | |
| BasicTemplate | Class | org.encog.ml.prg.extension | HeatonReasearch | |
| BasicTraining | An abstract class that implements basic training for most training algorithms. | Class | org.encog.ml.train | HeatonReasearch |
| BasicTreeNode | Class | org.encog.ml.tree.basic | HeatonReasearch | |
| BasicWorld | Class | org.encog.ml.world.basic | HeatonReasearch | |
| BayesEstimator | An estimator is used during Bayesian training to determine optimal probability values. | Interface | org.encog.ml.bayesian.training.estimator | HeatonReasearch |
| BayesianChoice | A choice in a Bayesian network. | Class | org.encog.ml.bayesian | HeatonReasearch |
| BayesianError | Thrown when an error occurs working with Bayesian networks. | Class | org.encog.ml.bayesian | HeatonReasearch |
| BayesianEvent | Events make up a Bayesian network. | Class | org.encog.ml.bayesian | HeatonReasearch |
| BayesianFactory | Factory to create bayesian networks. | Class | org.encog.ml.factory.method | HeatonReasearch |
| BayesianInit | The method by which a Bayesian network should be initialized. | Class | org.encog.ml.bayesian.training | HeatonReasearch |
| BayesianQuery | A Bayesian query. | Interface | org.encog.ml.bayesian.query | HeatonReasearch |
| BayesianTable | Holds a Bayesian truth table. | Class | org.encog.ml.bayesian.table | HeatonReasearch |
| BayesSearch | Search for a good Bayes structure. | Interface | org.encog.ml.bayesian.training.search.k2 | HeatonReasearch |
| BIFDefinition | Holds a BIF definition. | Class | org.encog.ml.bayesian.bif | HeatonReasearch |
| BIFHandler | Handler, used to parse the XML BIF files. | Class | org.encog.ml.bayesian.bif | HeatonReasearch |
| BIFUtil | A utility class to read and write Bayesian networks in BIF format. | Class | org.encog.ml.bayesian.bif | HeatonReasearch |
| BIFVariable | Class | org.encog.ml.bayesian.bif | HeatonReasearch | |
| BinaryDataLoader | This class is used, together with a CODEC, to move data to/from the Encog binary training file format. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| BiPolarNeuralData | A NeuralData implementation designed to work with bipolar data. | Class | org.encog.ml.data.specific | HeatonReasearch |
| BreadthFirstSearch | Class | org.encog.ml.graph.search | HeatonReasearch | |
| BufferedDataError | An error occurs working with the Encog binary training format. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| BufferedDataSetIterator | An iterator for the BufferedNeuralDataSet. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| BufferedMLDataSet | This class is not memory based, so very long files can be used, without running out of memory. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| CalculateScheduleTimes | Class | org.encog.ml.schedule | HeatonReasearch | |
| CalculateScore | Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. | Interface | org.encog.ml | HeatonReasearch |
| Clusters | Clusters used for the KMeans HMM training algorithm. | Class | org.encog.ml.hmm.train.kmeans | HeatonReasearch |
| ClusterSOMFactory | Create a trainer that uses the SOM cluster training method. | Class | org.encog.ml.factory.train | HeatonReasearch |
| ColumnDefinition | Defines a column definition. | Class | org.encog.ml.data.versatile.columns | HeatonReasearch |
| ColumnType | The type of column, defined using level of measurement. | Class | org.encog.ml.data.versatile.columns | HeatonReasearch |
| CompareEncogProgram | Compare two Encog programs for speciation. | Class | org.encog.ml.prg.species | HeatonReasearch |
| ComplexityAdjustedScore | Adjust scores to penalize complexity. | Class | org.encog.ml.ea.score.adjust | HeatonReasearch |
| CompoundOperator | A compound operator randomly chooses sub-operators to perform the actual operation. | Class | org.encog.ml.ea.opp | HeatonReasearch |
| ConstMutation | Mutate the constant nodes of an Encog program. | Class | org.encog.ml.prg.opp | HeatonReasearch |
| ConstraintRule | Defines a constraint. | Interface | org.encog.ml.ea.rules | HeatonReasearch |
| ContinousDistribution | A continuous distribution represents an infinite range of choices between two real numbers. | Class | org.encog.ml.hmm.distributions | HeatonReasearch |
| CostEstimator | Interface | org.encog.ml.graph.search | HeatonReasearch | |
| CSVDataCODEC | A CODEC used to read/write data from/to a CSV data file. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| CSVDataSource | Allow a CSV file to serve as a source for the versatile data source. | Class | org.encog.ml.data.versatile.sources | HeatonReasearch |
| CSVNeuralDataSet | An implementation of the NeuralDataSet interface designed to provide a CSV file to the neural network. | Class | org.encog.ml.data.specific | HeatonReasearch |
| DataDivision | A division of data inside of a versatile data set. | Class | org.encog.ml.data.versatile.division | HeatonReasearch |
| DataFold | Class | org.encog.ml.data.cross | HeatonReasearch | |
| DataSetCODEC | A CODEC is used to encode and decode data. | Interface | org.encog.ml.data.buffer.codec | HeatonReasearch |
| DepthFirstSearch | Class | org.encog.ml.graph.search | HeatonReasearch | |
| DepthFirstTraversal | Performs a depth-first traversal. | Class | org.encog.ml.tree.traverse | HeatonReasearch |
| DiscreteDistribution | A discrete distribution is a distribution with a finite set of states that itSee Also:Serialized Form | Class | org.encog.ml.hmm.distributions | HeatonReasearch |
| DivisionByZeroError | Class | org.encog.ml.prg.expvalue | HeatonReasearch | |
| DoubleArrayGenome | A genome made up of continuous doubles. | Class | org.encog.ml.genetic.genome | HeatonReasearch |
| DoubleArrayGenomeFactory | A factory that creates DoubleArrayGenome objects of a specific size. | Class | org.encog.ml.genetic.genome | HeatonReasearch |
| EACompileError | The genome has generated a compile error and is invalid. | Class | org.encog.ml.ea.exception | HeatonReasearch |
| EAError | A general evolutionary algorithm error. | Class | org.encog.ml.ea.exception | HeatonReasearch |
| EarlyStoppingStrategy | Stop early when validation set no longer improves. | Class | org.encog.ml.train.strategy.end | HeatonReasearch |
| EARuntimeError | An error has occurred while running a phenotype (or genome). | Class | org.encog.ml.ea.exception | HeatonReasearch |
| EAWorker | A worker thread for an Evolutionary Algorithm. | Class | org.encog.ml.ea.train.basic | HeatonReasearch |
| EmptyScoreFunction | An empty score function. | Class | org.encog.ml.ea.score | HeatonReasearch |
| EncodeSVMProblem | Encode an Encog dataset as a SVM problem. | Class | org.encog.ml.svm.training | HeatonReasearch |
| EncogEGBFile | Used to access an Encog Binary Training file (*. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| EncogModel | Encog model is designed to allow you to easily swap between different model types and automatically normalize data. | Class | org.encog.ml.model | HeatonReasearch |
| EncogOpcodeRegistry | enum EncogOpcodeRegistryHolds all known EPL opcodes. | Class | org.encog.ml.prg.extension | HeatonReasearch |
| EncogProgram | Holds an Encog Programming Language (EPL) program. | Class | org.encog.ml.prg | HeatonReasearch |
| EncogProgramContext | Every EncogProgram must belong to a context. | Class | org.encog.ml.prg | HeatonReasearch |
| EncogProgramVariables | This class stores the actual variable values for an Encog Program. | Class | org.encog.ml.prg | HeatonReasearch |
| EndIterationsStrategy | Class | org.encog.ml.train.strategy.end | HeatonReasearch | |
| EndMaxErrorStrategy | Class | org.encog.ml.train.strategy.end | HeatonReasearch | |
| EndMinutesStrategy | Class | org.encog.ml.train.strategy.end | HeatonReasearch | |
| EndTrainingStrategy | Interface | org.encog.ml.train.strategy.end | HeatonReasearch | |
| EnumerationQuery | An enumeration query allows probabilistic queries on a Bayesian network. | Class | org.encog.ml.bayesian.query.enumerate | HeatonReasearch |
| EPLFactory | Class | org.encog.ml.factory.method | HeatonReasearch | |
| EPLGAFactory | Class | org.encog.ml.factory.train | HeatonReasearch | |
| EstimatorNone | A simple estimator that does nothing. | Class | org.encog.ml.bayesian.training.estimator | HeatonReasearch |
| EuclideanCostEstimator | Class | org.encog.ml.graph.search | HeatonReasearch | |
| EuclideanNode | Class | org.encog.ml.graph | HeatonReasearch | |
| EvaluateExpr | Class | org.encog.ml.prg.expvalue | HeatonReasearch | |
| EventState | Holds the state of an event during a query. | Class | org.encog.ml.bayesian.query.sample | HeatonReasearch |
| EventType | The type of event for a Bayesian Network. | Class | org.encog.ml.bayesian | HeatonReasearch |
| EvolutionaryAlgorithm | This interface defines the basic functionality of an Evolutionary Algorithm. | Interface | org.encog.ml.ea.train | HeatonReasearch |
| EvolutionaryOperator | An evolutionary operator is used to create new offspring genomes based on parent genomes. | Interface | org.encog.ml.ea.opp | HeatonReasearch |
| ExcelCODEC | A CODEC that can read/write Microsoft Excel (*. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| ExpressionValue | An EncogProgram expression value. | Class | org.encog.ml.prg.expvalue | HeatonReasearch |
| FeedforwardConfig | Config class for EncogModel to use a feedforward neural network. | Class | org.encog.ml.model.config | HeatonReasearch |
| FeedforwardFactory | A factor to create feedforward networks. | Class | org.encog.ml.factory.method | HeatonReasearch |
| FileSection | The section of the BIF file that we are currently in. | Class | org.encog.ml.bayesian.bif | HeatonReasearch |
| FitnessObjective | A fitness objective. | Class | org.encog.ml.fitness | HeatonReasearch |
| FoldedDataSet | A folded data set allows you to "fold" the data into several equal(or nearly equal) datasets. | Class | org.encog.ml.data.folded | HeatonReasearch |
| FoldedIterator | Used to iterate over a folded data set. | Class | org.encog.ml.data.folded | HeatonReasearch |
| ForwardBackwardCalculator | The forward-backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables | Class | org.encog.ml.hmm.alog | HeatonReasearch |
| ForwardBackwardCalculator .Computation | Class | org.encog.ml.hmm.alog | HeatonReasearch | |
| ForwardBackwardScaledCalculator | The forward-backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables | Class | org.encog.ml.hmm.alog | HeatonReasearch |
| FrontierHolder | Class | org.encog.ml.graph.search | HeatonReasearch | |
| FunctionFactory | A function factory maps the opcodes contained in the EncogOpcodeRegistry into an EncogProgram. | Class | org.encog.ml.prg.extension | HeatonReasearch |
| GaussianFitting | Class | org.encog.ml.fitting.gaussian | HeatonReasearch | |
| GenerateWorker | Used to thread the generation process. | Class | org.encog.ml.prg.generator | HeatonReasearch |
| GeneticCODEC | A CODEC defines how to transfer between a genome and phenome. | Interface | org.encog.ml.ea.codec | HeatonReasearch |
| GeneticError | An error raised by the genetic algorithm. | Class | org.encog.ml.genetic | HeatonReasearch |
| GeneticFactory | A factory to create genetic algorithm trainers. | Class | org.encog.ml.factory.train | HeatonReasearch |
| Genome | A genome is the basic blueprint for creating an phenome (organism) in Encog. | Interface | org.encog.ml.ea.genome | HeatonReasearch |
| GenomeAsPhenomeCODEC | This is a simple pass-through CODEC. | Class | org.encog.ml.ea.codec | HeatonReasearch |
| GenomeComparator | Defines methods for comparing genomes. | Interface | org.encog.ml.ea.sort | HeatonReasearch |
| GenomeFactory | Defines a factory that produces genomes. | Interface | org.encog.ml.ea.genome | HeatonReasearch |
| GraphSearch | Interface | org.encog.ml.graph.search | HeatonReasearch | |
| Greedy | A simple greedy strategy. | Class | org.encog.ml.train.strategy | HeatonReasearch |
| GridAbstractProbability | Class | org.encog.ml.world.grid.probability | HeatonReasearch | |
| GridDeterministicProbability | Class | org.encog.ml.world.grid.probability | HeatonReasearch | |
| GridState | Class | org.encog.ml.world.grid | HeatonReasearch | |
| GridStochasticProbability | Class | org.encog.ml.world.grid.probability | HeatonReasearch | |
| GridWorld | Class | org.encog.ml.world.grid | HeatonReasearch | |
| HiddenMarkovModel | A Hidden Markov Model (HMM) is a Machine Learning Method that allows for predictions to be made about the hidden states and observations of a given | Class | org.encog.ml.hmm | HeatonReasearch |
| HybridStrategy | A hybrid stragey allows a secondary training algorithm to be used. | Class | org.encog.ml.train.strategy | HeatonReasearch |
| IndexedNormalizer | Normalize ordinal/nominal values to a single value that is simply the index of the class in the list. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| IntegerArrayGenome | A genome that is an array of discrete integer values. | Class | org.encog.ml.genetic.genome | HeatonReasearch |
| IntegerArrayGenomeFactory | A factory to create integer genomes of a specific size. | Class | org.encog.ml.genetic.genome | HeatonReasearch |
| KernelType | The type of SVM kernel in use. | Class | org.encog.ml.svm | HeatonReasearch |
| KFoldCrossvalidation | Class | org.encog.ml.data.cross | HeatonReasearch | |
| KMeansClustering | This class performs a basic K-Means clustering. | Class | org.encog.ml.kmeans | HeatonReasearch |
| KullbackLeiblerDistanceCalculator | This class produces a Kullback-Leibler estimation of the distance between two HMMs. | Class | org.encog.ml.hmm.alog | HeatonReasearch |
| LevelHolder | The level holder class is passed down as a tree is mutated. | Class | org.encog.ml.prg.opp | HeatonReasearch |
| LinearRegression | Class | org.encog.ml.fitting.linear | HeatonReasearch | |
| LMAFactory | This class is a factory to create the LMA training method. | Class | org.encog.ml.factory.train | HeatonReasearch |
| LoadedMarketData | This class contains market data that was loaded for a specific ticker symbol and a specific date. | Class | org.encog.ml.data.market.loader | HeatonReasearch |
| LoaderError | An error that occurs when financial data is being loaded. | Class | org.encog.ml.data.market.loader | HeatonReasearch |
| ManhattanFactory | A factory for Manhattan training. | Class | org.encog.ml.factory.train | HeatonReasearch |
| MarketDataDescription | This class is used to describe the type of financial data that is needed. | Class | org.encog.ml.data.market | HeatonReasearch |
| MarketDataType | The types of market data that can be used. | Class | org.encog.ml.data.market | HeatonReasearch |
| MarketError | Thrown when an error occurs processing market data. | Class | org.encog.ml.data.market | HeatonReasearch |
| MarketLoader | Interface | org.encog.ml.data.market.loader | HeatonReasearch | |
| MarketMLDataSet | A data set that is designed to hold market data. | Class | org.encog.ml.data.market | HeatonReasearch |
| MarketPoint | Hold one market datapoint. | Class | org.encog.ml.data.market | HeatonReasearch |
| MarkovDecisionProcess | Class | org.encog.ml.world.learning.mdp | HeatonReasearch | |
| MarkovGenerator | This class is used to generate random sequences based on a Hidden Markov Model. | Class | org.encog.ml.hmm.alog | HeatonReasearch |
| MatrixMLDataSet | The MatrixMLDataSet can use a large 2D matrix of doubles to internally hold data. | Class | org.encog.ml.data.versatile | HeatonReasearch |
| MaximizeAdjustedScoreComp | Use this comparator to maximize the adjusted score. | Class | org.encog.ml.ea.sort | HeatonReasearch |
| MaximizeScoreComp | Use this comparator to maximize the score. | Class | org.encog.ml.ea.sort | HeatonReasearch |
| MeanMissingHandler | Handle missing data by using the mean value of that column. | Class | org.encog.ml.data.versatile.missing | HeatonReasearch |
| MemoryDataLoader | This class is used, together with a CODEC, load training data from some external file into an Encog memory-based training set. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| MethodConfig | Define normalization for a specific method. | Interface | org.encog.ml.model.config | HeatonReasearch |
| MethodFactory | Interface | org.encog.ml | HeatonReasearch | |
| MinimizeAdjustedScoreComp | Use this comparator to minimize the adjusted score. | Class | org.encog.ml.ea.sort | HeatonReasearch |
| MinimizeScoreComp | Use this comparator to minimize the score. | Class | org.encog.ml.ea.sort | HeatonReasearch |
| MissingHandler | Specifies how to handle missing data. | Interface | org.encog.ml.data.versatile.missing | HeatonReasearch |
| MLActivationFactory | Class | org.encog.ml.factory | HeatonReasearch | |
| MLAutoAssocation | Defines a MLMethod that can handle autoassocation. | Interface | org.encog.ml | HeatonReasearch |
| MLClassification | This interface defines a MLMethod that is used for classification. | Interface | org.encog.ml | HeatonReasearch |
| MLCluster | Defines a cluster. | Interface | org.encog.ml | HeatonReasearch |
| MLClustering | A machine learning method that is used to break data into clusters. | Interface | org.encog.ml | HeatonReasearch |
| MLComplexData | This class implements a data object that can hold complex numbers. | Interface | org.encog.ml.data | HeatonReasearch |
| MLContext | Defines a MLMethod that can hold context. | Interface | org.encog.ml | HeatonReasearch |
| MLData | Defines an array of data. | Interface | org.encog.ml.data | HeatonReasearch |
| MLDataError | Used by the machine learning methods classes to indicate a data error. | Class | org.encog.ml.data | HeatonReasearch |
| MLDataPair | Training data is stored in two ways, depending on if the data is for supervised, or unsupervised training. | Interface | org.encog.ml.data | HeatonReasearch |
| MLDataSet | An interface designed to abstract classes that store machine learning data. | Interface | org.encog.ml.data | HeatonReasearch |
| MLEncodable | Defines a Machine Learning Method that can be encoded to a double array. | Interface | org.encog.ml | HeatonReasearch |
| MLEncodableCODEC | A CODEC for IMLEncodable classes. | Class | org.encog.ml.genetic | HeatonReasearch |
| MLError | Interface | org.encog.ml | HeatonReasearch | |
| MLFactory | This interface defines the fact that a class, or object, is having the ability to generate an Encog factory code from the objects instanciated | Interface | org.encog.ml | HeatonReasearch |
| MLInput | Defines a MLMethod that accepts input. | Interface | org.encog.ml | HeatonReasearch |
| MLInputOutput | This is a convenience interface that combines MLInput and MLOutput. | Interface | org.encog.ml | HeatonReasearch |
| MLMethod | This interface is the base for all Encog Machine Learning methods. | Interface | org.encog.ml | HeatonReasearch |
| MLMethodFactory | This factory is used to create machine learning methods. | Class | org.encog.ml.factory | HeatonReasearch |
| MLMethodGeneticAlgorithm | (MLEncodable) to be trained. | Class | org.encog.ml.genetic | HeatonReasearch |
| MLMethodGenome | using a genetic algorithm. | Class | org.encog.ml.genetic | HeatonReasearch |
| MLMethodGenomeFactory | A factory to create MLMethod based genomes. | Class | org.encog.ml.genetic | HeatonReasearch |
| MLOutput | Defines a MLMethod that produces output. | Interface | org.encog.ml | HeatonReasearch |
| MLProperties | Defines a Machine Learning Method that holds properties. | Interface | org.encog.ml | HeatonReasearch |
| MLRegression | Defines a Machine Learning Method that supports regression. | Interface | org.encog.ml | HeatonReasearch |
| MLResettable | Defines a Machine Learning Method that can be reset to an untrained starting point. | Interface | org.encog.ml | HeatonReasearch |
| MLSequenceSet | A sequence set is a collection of data sets. | Interface | org.encog.ml.data | HeatonReasearch |
| MLStateSequence | A state sequence ML method, for example a Hidden Markov Model. | Interface | org.encog.ml | HeatonReasearch |
| MLTrain | Defines a training method for a machine learning method. | Interface | org.encog.ml.train | HeatonReasearch |
| MLTrainFactory | This factory is used to create trainers for machine learning methods. | Class | org.encog.ml.factory | HeatonReasearch |
| MultiObjectiveFitness | A multi-objective fitness function. | Class | org.encog.ml.fitness | HeatonReasearch |
| MutatePerturb | A simple mutation based on random numbers. | Class | org.encog.ml.genetic.mutate | HeatonReasearch |
| MutateShuffle | A simple mutation where genes are shuffled. | Class | org.encog.ml.genetic.mutate | HeatonReasearch |
| NEATConfig | Config class for EncogModel to use a NEAT neural network. | Class | org.encog.ml.model.config | HeatonReasearch |
| NEATFactory | A factor to create feedforward networks. | Class | org.encog.ml.factory.method | HeatonReasearch |
| NEATGAFactory | A factory to create genetic algorithm trainers. | Class | org.encog.ml.factory.train | HeatonReasearch |
| NeighborhoodSOMFactory | Train an SOM network with a neighborhood method. | Class | org.encog.ml.factory.train | HeatonReasearch |
| NelderMeadFactory | Class | org.encog.ml.factory.train | HeatonReasearch | |
| NeuralDataSetCODEC | A CODEC that works with the NeuralDataSet class. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| NodeType | The node type. | Class | org.encog.ml.prg.extension | HeatonReasearch |
| NormalizationHelper | This class is used to perform normalizations for methods trained with theSee Also:Serialized Form | Class | org.encog.ml.data.versatile | HeatonReasearch |
| NormalizationStrategy | Defines the interface to a normalization strategy. | Interface | org.encog.ml.data.versatile.normalizers.strategies | HeatonReasearch |
| Normalizer | The normalizer interface defines how to normalize a column. | Interface | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| OneOfNNormalizer | Normalize to one-of-n for nominal values. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| OperationList | This class holds a list of evolutionary operators. | Class | org.encog.ml.ea.opp | HeatonReasearch |
| ParallelScore | This class is used to calculate the scores for an entire population. | Class | org.encog.ml.ea.score.parallel | HeatonReasearch |
| ParallelScoreTask | An individual threadable task for the parallel score calculation. | Class | org.encog.ml.ea.score.parallel | HeatonReasearch |
| ParamTemplate | Provides a template for parameters to the opcodes. | Class | org.encog.ml.prg.extension | HeatonReasearch |
| ParsedChoice | Class | org.encog.ml.bayesian.parse | HeatonReasearch | |
| ParsedEvent | Class | org.encog.ml.bayesian.parse | HeatonReasearch | |
| ParsedProbability | A probability that has been parsed. | Class | org.encog.ml.bayesian.parse | HeatonReasearch |
| ParseProbability | Used to parse probability strings for the Bayes networks. | Class | org.encog.ml.bayesian.parse | HeatonReasearch |
| PassThroughNormalizer | A normalizer that simply passes the value through unnormalized. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| PerformAction | Interface | org.encog.ml.world | HeatonReasearch | |
| PerformDataDivision | Perform a data division. | Class | org.encog.ml.data.versatile.division | HeatonReasearch |
| PersistBayes | Persist a Bayesian network. | Class | org.encog.ml.bayesian | HeatonReasearch |
| PersistHMM | Class | org.encog.ml.hmm | HeatonReasearch | |
| PersistPrgPopulation | Persist the Encog population. | Class | org.encog.ml.prg | HeatonReasearch |
| PersistSVM | Class | org.encog.ml.svm | HeatonReasearch | |
| PNNConfig | Config class for EncogModel to use a PNN neural network. | Class | org.encog.ml.model.config | HeatonReasearch |
| PNNFactory | A factory to create PNN networks. | Class | org.encog.ml.factory.method | HeatonReasearch |
| PNNTrainFactory | A factory used to create PNN trainers. | Class | org.encog.ml.factory.train | HeatonReasearch |
| Population | Defines a population of genomes. | Interface | org.encog.ml.ea.population | HeatonReasearch |
| PopulationGenerator | Generate a random population. | Interface | org.encog.ml.ea.population | HeatonReasearch |
| PrgCODEC | Encode and decode an Encog program between genome and phenotypes. | Class | org.encog.ml.prg | HeatonReasearch |
| PrgFullGenerator | The full generator works by creating program trees that do not stop prematurely. | Class | org.encog.ml.prg.generator | HeatonReasearch |
| PrgGenerator | Generate a random Encog Program. | Interface | org.encog.ml.prg.generator | HeatonReasearch |
| PrgGenomeFactory | A GenomeFactory that creates EncogProgram genomes. | Class | org.encog.ml.prg.train | HeatonReasearch |
| PrgGrowGenerator | The grow generator creates a random program by choosing a random node from both the "function and terminal" sets until the maximum depth is reached. | Class | org.encog.ml.prg.generator | HeatonReasearch |
| PrgPopulation | A population that contains EncogProgram's. | Class | org.encog.ml.prg.train | HeatonReasearch |
| PrgSpeciation | Perform speciation for two Encog programs. | Class | org.encog.ml.prg.species | HeatonReasearch |
| Prioritizer | Interface | org.encog.ml.graph.search | HeatonReasearch | |
| ProgramExtensionTemplate | Defines an opcode. | Interface | org.encog.ml.prg.extension | HeatonReasearch |
| ProgramNode | Represents a program node in an EPL program. | Class | org.encog.ml.prg | HeatonReasearch |
| PSOFactory | A factory for quick propagation training. | Class | org.encog.ml.factory.train | HeatonReasearch |
| QLearning | Class | org.encog.ml.world.learning.q | HeatonReasearch | |
| QuickPropFactory | A factory for quick propagation training. | Class | org.encog.ml.factory.train | HeatonReasearch |
| RampedHalfAndHalf | Because neither the grow or full method provide a very wide array of sizes or shapes on their own, Koza (1992) proposed a combination called ramped | Class | org.encog.ml.prg.generator | HeatonReasearch |
| RangeNormalizer | A a range normalizer forces a value to fall in a specific range. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| RangeOrdinal | Normalize an ordinal into a specific range. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| RBFNetworkConfig | Config class for EncogModel to use a RBF neural network. | Class | org.encog.ml.model.config | HeatonReasearch |
| RBFNetworkFactory | A factory to create RBF networks. | Class | org.encog.ml.factory.method | HeatonReasearch |
| RBFSVDFactory | This factory is used to create a SVD trainer for an RBF network. | Class | org.encog.ml.factory.train | HeatonReasearch |
| RequiredImprovementStrategy | The reset strategy will reset the weights if the neural network fails to improve by the specified amount over a number of cycles. | Class | org.encog.ml.train.strategy | HeatonReasearch |
| ResetStrategy | The reset strategy will reset the weights if the neural network fails to fall below a specified error by a specified number of cycles. | Class | org.encog.ml.train.strategy | HeatonReasearch |
| RewriteAlgebraic | This class is used to rewrite algebraic expressions into more simple forms. | Class | org.encog.ml.prg.train.rewrite | HeatonReasearch |
| RewriteBoolean | Basic rewrite rules for boolean expressions. | Class | org.encog.ml.prg.train.rewrite | HeatonReasearch |
| RewriteConstants | Rewrite any parts of the tree that are constant with a simple constant value. | Class | org.encog.ml.prg.train.rewrite | HeatonReasearch |
| RewriteRule | Defines a rewrite rule. | Interface | org.encog.ml.ea.rules | HeatonReasearch |
| RPROPFactory | A factory that creates RPROP trainers. | Class | org.encog.ml.factory.train | HeatonReasearch |
| RuleHolder | Holds a set of rules for an EA. | Interface | org.encog.ml.ea.rules | HeatonReasearch |
| SamplingQuery | A sampling query allows probabilistic queries on a Bayesian network. | Class | org.encog.ml.bayesian.query.sample | HeatonReasearch |
| SCGFactory | A factory used to create SCG trainers. | Class | org.encog.ml.factory.train | HeatonReasearch |
| ScheduleGraph | Class | org.encog.ml.schedule | HeatonReasearch | |
| SearchGoal | Interface | org.encog.ml.graph.search | HeatonReasearch | |
| SearchK2 | Search for optimal Bayes structure with K2. | Class | org.encog.ml.bayesian.training.search.k2 | HeatonReasearch |
| SearchNone | Simple class to perform no search for optimal network structure. | Class | org.encog.ml.bayesian.training.search | HeatonReasearch |
| SelectionOperator | Provides the interface to a selection operator. | Interface | org.encog.ml.ea.opp.selection | HeatonReasearch |
| SimpleDestinationGoal | Class | org.encog.ml.graph.search | HeatonReasearch | |
| SimpleEarlyStoppingStrategy | A simple early stopping strategy that halts training when the validation set no longer improves. | Class | org.encog.ml.train.strategy.end | HeatonReasearch |
| SimpleEstimator | A simple probability estimator. | Class | org.encog.ml.bayesian.training.estimator | HeatonReasearch |
| SimulatedAnnealing | Simulated annealing is a common training method. | Class | org.encog.ml.anneal | HeatonReasearch |
| SingleSpeciation | This speciation strategy simply creates a single species that contains the entire population. | Class | org.encog.ml.ea.species | HeatonReasearch |
| SOMFactory | A factory that is used to produce self-organizing maps. | Class | org.encog.ml.factory.method | HeatonReasearch |
| SortGenomesForSpecies | Sort the gnomes for species. | Class | org.encog.ml.ea.sort | HeatonReasearch |
| SparseMLData | Class | org.encog.ml.data.sparse | HeatonReasearch | |
| Speciation | Defines a speciation strategy. | Interface | org.encog.ml.ea.species | HeatonReasearch |
| Species | Interface | org.encog.ml.ea.species | HeatonReasearch | |
| SpeciesComparator | This comparator is used to compare two species. | Class | org.encog.ml.ea.sort | HeatonReasearch |
| Splice | A simple cross over where genes are simply "spliced". | Class | org.encog.ml.genetic.crossover | HeatonReasearch |
| SpliceNoRepeat | A simple cross over where genes are simply "spliced". | Class | org.encog.ml.genetic.crossover | HeatonReasearch |
| SQLCODEC | A CODEC that is designed to read data from an SQL source. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| SRNFactory | A factory that creates simple recurrent neural networks (SRN's), i. | Class | org.encog.ml.factory.method | HeatonReasearch |
| StandardExtensions | This class defines the standard opcodes for Encog programs. | Class | org.encog.ml.prg.extension | HeatonReasearch |
| State | Interface | org.encog.ml.world | HeatonReasearch | |
| StateDistribution | This class represents a "state distribution". | Interface | org.encog.ml.hmm.distributions | HeatonReasearch |
| StopTrainingStrategy | This strategy will indicate once training is no longer improving the neural network by a specified amount, over a specified number of cycles. | Class | org.encog.ml.train.strategy | HeatonReasearch |
| Strategy | Training strategies can be added to training algorithms. | Interface | org.encog.ml.train.strategy | HeatonReasearch |
| SubtreeCrossover | Perform a type-safe subtree crossover. | Class | org.encog.ml.prg.opp | HeatonReasearch |
| SubtreeMutation | Perform a type-safe subtree mutation. | Class | org.encog.ml.prg.opp | HeatonReasearch |
| SuccessorState | Class | org.encog.ml.world | HeatonReasearch | |
| SVM | This is a network that is backed by one or more Support Vector Machines (SVM). | Class | org.encog.ml.svm | HeatonReasearch |
| SVMConfig | Config class for EncogModel to use an SVM. | Class | org.encog.ml.model.config | HeatonReasearch |
| SVMFactory | A factory that is used to create support vector machines (SVM). | Class | org.encog.ml.factory.method | HeatonReasearch |
| SVMFactory | A factory to create SVM trainers. | Class | org.encog.ml.factory.train | HeatonReasearch |
| SVMSearchFactory | A factory that creates SVM-search trainers. | Class | org.encog.ml.factory.train | HeatonReasearch |
| SVMSearchTrain | Provides training for Support Vector Machine networks. | Class | org.encog.ml.svm.training | HeatonReasearch |
| SVMTrain | Provides training for Support Vector Machine networks. | Class | org.encog.ml.svm.training | HeatonReasearch |
| SVMType | Supports both class and new support vector calculations, as well as one-class For more information about the two "new" support vector types, as well as the | Class | org.encog.ml.svm | HeatonReasearch |
| TableLine | A line from a Bayesian truth table. | Class | org.encog.ml.bayesian.table | HeatonReasearch |
| TaskCountNodes | Count the nodes in an acyclic tree. | Class | org.encog.ml.tree.traverse.tasks | HeatonReasearch |
| TaskGetNodeIndex | Get a node by index. | Class | org.encog.ml.tree.traverse.tasks | HeatonReasearch |
| TaskReplaceNode | Task to replace a node. | Class | org.encog.ml.tree.traverse.tasks | HeatonReasearch |
| TemporalDataDescription | This class describes one unit of input, or output, to a temporal neural network. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| TemporalDataDescription .Type | The type of data requested. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| TemporalError | Error occurred processing temporal data. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| TemporalMLDataSet | This class implements a temporal neural data set. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| TemporalPoint | A temporal point is all of the data captured at one point in time to be used for prediction. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| ThresholdSpeciation | Speciate based on threshold. | Class | org.encog.ml.ea.species | HeatonReasearch |
| TickerSymbol | Holds a ticker symbol and exchange. | Class | org.encog.ml.data.market | HeatonReasearch |
| TournamentSelection | Tournament select can be used to select a fit (or unfit) genome from a species. | Class | org.encog.ml.ea.opp.selection | HeatonReasearch |
| TrainBaumWelch | Baum Welch Learning allows a HMM to be constructed from a series of sequence observations. | Class | org.encog.ml.hmm.train.bw | HeatonReasearch |
| TrainBaumWelchScaled | Baum Welch Learning allows a HMM to be constructed from a series of sequence observations. | Class | org.encog.ml.hmm.train.bw | HeatonReasearch |
| TrainBayesian | Train a Bayesian network. | Class | org.encog.ml.bayesian.training | HeatonReasearch |
| TrainBayesianFactory | Class | org.encog.ml.factory.train | HeatonReasearch | |
| TrainEA | Provides a MLTrain compatible class that can be used to train genomes. | Class | org.encog.ml.ea.train.basic | HeatonReasearch |
| TrainGaussian | Class | org.encog.ml.fitting.gaussian | HeatonReasearch | |
| TrainingImplementationType | enum TrainingImplementationTypeSpecifies the type of training that an object provides. | Class | org.encog.ml | HeatonReasearch |
| TrainKMeans | Train a Hidden Markov Model (HMM) with the KMeans algorithm. | Class | org.encog.ml.hmm.train.kmeans | HeatonReasearch |
| TrainLinearRegression | Class | org.encog.ml.fitting.linear | HeatonReasearch | |
| TreeNode | Interface | org.encog.ml.tree | HeatonReasearch | |
| TreeTraversal | Defines a method for traversing a tree. | Interface | org.encog.ml.tree.traverse | HeatonReasearch |
| TreeTraversalTask | A task used to traverse the tree. | Interface | org.encog.ml.tree.traverse | HeatonReasearch |
| TruncationSelection | Truncation selection chooses a random genome from the top genomes in the population. | Class | org.encog.ml.ea.opp.selection | HeatonReasearch |
| ValueIteration | Class | org.encog.ml.world.learning.mdp | HeatonReasearch | |
| ValueType | Class | org.encog.ml.prg.expvalue | HeatonReasearch | |
| VariableMapping | A variable mapping defines the type for each of the variables in an EncogSee Also:Serialized Form | Class | org.encog.ml.prg | HeatonReasearch |
| VersatileDataSource | Defines a data source for the versatile data set. | Interface | org.encog.ml.data.versatile.sources | HeatonReasearch |
| VersatileMLDataSet | The versatile dataset supports several advanced features. | Class | org.encog.ml.data.versatile | HeatonReasearch |
| ViterbiCalculator | The Viterbi algorithm is used to find the most likely sequence of hidden states (called the Viterbi path) that results in a sequence of observed | Class | org.encog.ml.hmm.alog | HeatonReasearch |
| World | Interface | org.encog.ml.world | HeatonReasearch | |
| WorldAgent | Interface | org.encog.ml.world | HeatonReasearch | |
| WorldError | Class | org.encog.ml.world | HeatonReasearch | |
| YahooFinanceLoader | This class loads financial data from Yahoo. | Class | org.encog.ml.data.market.loader | HeatonReasearch |
| ZeroEvalScoreFunction | This is a very simple evaluation function that simply passes in all zeros for the input arguments. | Class | org.encog.ml.prg.train | HeatonReasearch |