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Classes in org.encog.ml used by org.encog.app.analyst | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.app.analyst.commands | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.app.analyst.csv | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.app.generate | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ca.universe.basic | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
Classes in org.encog.ml used by org.encog.ensemble | |
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MLClassification
This interface defines a MLMethod that is used for classification. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.ensemble.ml.mlp.factory | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ensemble.training | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.mathutil.randomize | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml | |
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MLCluster
Defines a cluster. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
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TrainingImplementationType
Specifies the type of training that an object provides. |
Classes in org.encog.ml used by org.encog.ml.bayesian | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLClassification
This interface defines a MLMethod that is used for classification. |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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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 | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.ea.codec | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.ea.genome | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.ea.population | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
Classes in org.encog.ml used by org.encog.ml.ea.score | |
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CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. |
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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 | |
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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 | |
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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 | |
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CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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TrainingImplementationType
Specifies the type of training that an object provides. |
Classes in org.encog.ml used by org.encog.ml.factory | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.factory.method | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.factory.train | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.fitness | |
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CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.fitting.gaussian | |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.ml.fitting.linear | |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.ml.genetic | |
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CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. |
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MethodFactory
Factor MLMethods. |
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MLEncodable
Defines a Machine Learning Method that can be encoded to a double array. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.genetic.genome | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.hmm | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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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 | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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TrainingImplementationType
Specifies the type of training that an object provides. |
Classes in org.encog.ml used by org.encog.ml.hmm.train.kmeans | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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TrainingImplementationType
Specifies the type of training that an object provides. |
Classes in org.encog.ml used by org.encog.ml.kmeans | |
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MLCluster
Defines a cluster. |
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MLClustering
A machine learning method that is used to break data into clusters. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.prg | |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.ml.prg.generator | |
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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 | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.ml.svm | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLClassification
This interface defines a MLMethod that is used for classification. |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.ml.svm.training | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.ml.train | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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TrainingImplementationType
Specifies the type of training that an object provides. |
Classes in org.encog.ml used by org.encog.neural.art | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLClassification
This interface defines a MLMethod that is used for classification. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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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 | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
Classes in org.encog.ml used by org.encog.neural.cpn | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
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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 | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.neural.freeform | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLClassification
This interface defines a MLMethod that is used for classification. |
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MLContext
Defines a MLMethod that can hold context. |
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MLEncodable
Defines a Machine Learning Method that can be encoded to a double array. |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
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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 | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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TrainingImplementationType
Specifies the type of training that an object provides. |
Classes in org.encog.ml used by org.encog.neural.hyperneat | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.neural.neat | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.neural.neat.training | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.neural.networks | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLClassification
This interface defines a MLMethod that is used for classification. |
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MLContext
Defines a MLMethod that can hold context. |
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MLEncodable
Defines a Machine Learning Method that can be encoded to a double array. |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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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. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
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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 | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.neural.networks.training | |
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CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. |
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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 | |
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CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. |
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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 | |
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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 | |
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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 | |
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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 | |
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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 | |
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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 | |
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CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. |
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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 | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.neural.pattern | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.neural.pnn | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLClassification
This interface defines a MLMethod that is used for classification. |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.neural.rbf | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLEncodable
Defines a Machine Learning Method that can be encoded to a double array. |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
|
MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
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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 | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLClassification
This interface defines a MLMethod that is used for classification. |
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MLError
Defines Machine Learning Method that can calculate an error based on a data set. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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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 | |
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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 | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.neural.thermal | |
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BasicML
A class that provides basic property functionality for the MLProperties interface. |
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MLAutoAssocation
Defines a MLMethod that can handle autoassocation. |
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MLInput
Defines a MLMethod that accepts input. |
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MLInputOutput
This is a convenience interface that combines MLInput and MLOutput. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
MLOutput
Defines a MLMethod that produces output. |
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MLProperties
Defines a Machine Learning Method that holds properties. |
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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 | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.plugin.system | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
Classes in org.encog.ml used by org.encog.util.error | |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.util.simple | |
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MLClassification
This interface defines a MLMethod that is used for classification. |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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MLRegression
Defines a Machine Learning Method that supports regression. |
Classes in org.encog.ml used by org.encog.util.validate | |
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MLMethod
This interface is the base for all Encog Machine Learning methods. |
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PREV NEXT | FRAMES NO FRAMES |