# Uses of Package
org.encog.ml

- Packages that use org.encog.ml
  Package | Description
  --- | ---
  org.encog.app.analyst |
  org.encog.app.analyst.commands |
  org.encog.app.analyst.csv |
  org.encog.app.generate |
  org.encog.ca.universe.basic |
  org.encog.ensemble |
  org.encog.ensemble.ml.mlp.factory |
  org.encog.ensemble.training |
  org.encog.mathutil.randomize |
  org.encog.ml |
  org.encog.ml.bayesian |
  org.encog.ml.bayesian.training |
  org.encog.ml.data.cross |
  org.encog.ml.ea.codec |
  org.encog.ml.ea.genome |
  org.encog.ml.ea.population |
  org.encog.ml.ea.score |
  org.encog.ml.ea.score.parallel |
  org.encog.ml.ea.train |
  org.encog.ml.ea.train.basic |
  org.encog.ml.factory |
  org.encog.ml.factory.method |
  org.encog.ml.factory.train |
  org.encog.ml.fitness |
  org.encog.ml.fitting.gaussian |
  org.encog.ml.fitting.linear |
  org.encog.ml.genetic |
  org.encog.ml.genetic.genome |
  org.encog.ml.hmm |
  org.encog.ml.hmm.train.bw |
  org.encog.ml.hmm.train.kmeans |
  org.encog.ml.kmeans |
  org.encog.ml.model |
  org.encog.ml.prg |
  org.encog.ml.prg.generator |
  org.encog.ml.prg.train |
  org.encog.ml.svm |
  org.encog.ml.svm.training |
  org.encog.ml.train |
  org.encog.neural.art |
  org.encog.neural.bam |
  org.encog.neural.cpn |
  org.encog.neural.cpn.training |
  org.encog.neural.freeform |
  org.encog.neural.freeform.training |
  org.encog.neural.hyperneat |
  org.encog.neural.neat |
  org.encog.neural.neat.training |
  org.encog.neural.networks |
  org.encog.neural.networks.structure |
  org.encog.neural.networks.training |
  org.encog.neural.networks.training.anneal |
  org.encog.neural.networks.training.cross |
  org.encog.neural.networks.training.lma |
  org.encog.neural.networks.training.nm |
  org.encog.neural.networks.training.pnn |
  org.encog.neural.networks.training.propagation |
  org.encog.neural.networks.training.pso |
  org.encog.neural.networks.training.simple |
  org.encog.neural.pattern |
  org.encog.neural.pnn |
  org.encog.neural.rbf |
  org.encog.neural.som |
  org.encog.neural.som.training.basic |
  org.encog.neural.som.training.clustercopy |
  org.encog.neural.thermal |
  org.encog.plugin |
  org.encog.plugin.system |
  org.encog.util.error |
  org.encog.util.simple |
  org.encog.util.validate |

- Classes in org.encog.ml used by org.encog.app.analyst
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.app.analyst.commands
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.app.analyst.csv
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.app.generate
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ca.universe.basic
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLProperties Defines a Machine Learning Method that holds properties.

- Classes in org.encog.ml used by org.encog.ensemble
  Class and Description
  MLClassification This interface defines a MLMethod that is used for classification.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.ensemble.ml.mlp.factory
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ensemble.training
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.mathutil.randomize
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml
  Class and Description
  MLCluster Defines a cluster.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.
  TrainingImplementationType Specifies the type of training that an object provides.

- Classes in org.encog.ml used by org.encog.ml.bayesian
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLClassification This interface defines a MLMethod that is used for classification.
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

- Classes in org.encog.ml used by org.encog.ml.bayesian.training
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.data.cross
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.ea.codec
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.ea.genome
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.ea.population
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLProperties Defines a Machine Learning Method that holds properties.

- Classes in org.encog.ml used by org.encog.ml.ea.score
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.ea.score.parallel
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.

- Classes in org.encog.ml used by org.encog.ml.ea.train
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.

- Classes in org.encog.ml used by org.encog.ml.ea.train.basic
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  TrainingImplementationType Specifies the type of training that an object provides.

- Classes in org.encog.ml used by org.encog.ml.factory
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.factory.method
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.factory.train
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.fitness
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.fitting.gaussian
  Class and Description
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.ml.fitting.linear
  Class and Description
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.ml.genetic
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
  MethodFactory Factor MLMethods.
  MLEncodable Defines a Machine Learning Method that can be encoded to a double array.
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.genetic.genome
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.hmm
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLStateSequence A state sequence ML method, for example a Hidden Markov Model.

- Classes in org.encog.ml used by org.encog.ml.hmm.train.bw
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.
  TrainingImplementationType Specifies the type of training that an object provides.

- Classes in org.encog.ml used by org.encog.ml.hmm.train.kmeans
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.
  TrainingImplementationType Specifies the type of training that an object provides.

- Classes in org.encog.ml used by org.encog.ml.kmeans
  Class and Description
  MLCluster Defines a cluster.
  MLClustering A machine learning method that is used to break data into clusters.
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.model
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.prg
  Class and Description
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.ml.prg.generator
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.

- Classes in org.encog.ml used by org.encog.ml.prg.train
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.ml.svm
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLClassification This interface defines a MLMethod that is used for classification.
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.ml.svm.training
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.ml.train
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.
  TrainingImplementationType Specifies the type of training that an object provides.

- Classes in org.encog.ml used by org.encog.neural.art
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLClassification This interface defines a MLMethod that is used for classification.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

- Classes in org.encog.ml used by org.encog.neural.bam
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLProperties Defines a Machine Learning Method that holds properties.

- Classes in org.encog.ml used by org.encog.neural.cpn
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.
  MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

- Classes in org.encog.ml used by org.encog.neural.cpn.training
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.freeform
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLClassification This interface defines a MLMethod that is used for classification.
  MLContext Defines a MLMethod that can hold context.
  MLEncodable Defines a Machine Learning Method that can be encoded to a double array.
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.
  MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

- Classes in org.encog.ml used by org.encog.neural.freeform.training
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.
  TrainingImplementationType Specifies the type of training that an object provides.

- Classes in org.encog.ml used by org.encog.neural.hyperneat
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.neat
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.neural.neat.training
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.networks
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLClassification This interface defines a MLMethod that is used for classification.
  MLContext Defines a MLMethod that can hold context.
  MLEncodable Defines a Machine Learning Method that can be encoded to a double array.
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  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 state.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.
  MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

- Classes in org.encog.ml used by org.encog.neural.networks.structure
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.networks.training
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.networks.training.anneal
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
  MLEncodable Defines a Machine Learning Method that can be encoded to a double array.

- Classes in org.encog.ml used by org.encog.neural.networks.training.cross
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.networks.training.lma
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.networks.training.nm
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.networks.training.pnn
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.networks.training.propagation
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.networks.training.pso
  Class and Description
  CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.networks.training.simple
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.pattern
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.pnn
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLClassification This interface defines a MLMethod that is used for classification.
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.neural.rbf
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLEncodable Defines a Machine Learning Method that can be encoded to a double array.
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.
  MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

- Classes in org.encog.ml used by org.encog.neural.som
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLClassification This interface defines a MLMethod that is used for classification.
  MLError Defines Machine Learning Method that can calculate an error based on a data set.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

- Classes in org.encog.ml used by org.encog.neural.som.training.basic
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.som.training.clustercopy
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.neural.thermal
  Class and Description
  BasicML A class that provides basic property functionality for the MLProperties interface.
  MLAutoAssocation Defines a MLMethod that can handle autoassocation.
  MLInput Defines a MLMethod that accepts input.
  MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLOutput Defines a MLMethod that produces output.
  MLProperties Defines a Machine Learning Method that holds properties.
  MLRegression Defines a Machine Learning Method that supports regression.
  MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

- Classes in org.encog.ml used by org.encog.plugin
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.plugin.system
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

- Classes in org.encog.ml used by org.encog.util.error
  Class and Description
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.util.simple
  Class and Description
  MLClassification This interface defines a MLMethod that is used for classification.
  MLMethod This interface is the base for all Encog Machine Learning methods.
  MLRegression Defines a Machine Learning Method that supports regression.

- Classes in org.encog.ml used by org.encog.util.validate
  Class and Description
  MLMethod This interface is the base for all Encog Machine Learning methods.

Copyright © 2014. All Rights Reserved.