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| Packages that use org.encog.ml | |
|---|---|
| org.encog.app.analyst | This package contains the Encog Analyst. |
| org.encog.app.analyst.csv | This package contains all of the classes for directly working with CSV files, used by the analyst. |
| org.encog.mathutil.randomize | |
| org.encog.ml | This package contains all of the classes for Machine Learning. |
| org.encog.ml.factory | This package contains the Encog Machine Learning Factory. |
| org.encog.ml.factory.method | |
| org.encog.ml.factory.train | This package is used to create trainers. |
| org.encog.ml.kmeans | This package holds the classes used to implement kmeans clustering. |
| org.encog.ml.svm | This package contains all of the classes for support vector machines. |
| org.encog.ml.svm.training | This package holds the classes used for SVM training. |
| org.encog.ml.train | |
| org.encog.neural.art | This package contains the classes for ART neural networks. |
| org.encog.neural.bam | THis package contains the classes for BAM networks. |
| org.encog.neural.cpn | This package contains the classes for CPN networks. |
| org.encog.neural.cpn.training | This package contains the instar and outstar training for the network. |
| org.encog.neural.neat | |
| org.encog.neural.neat.training | |
| org.encog.neural.networks | This package contains the neural network machine learning methods. |
| org.encog.neural.networks.structure | This package contains classes used to handle the structure of a neural network. |
| org.encog.neural.networks.training | This package provides training for neural networks. |
| org.encog.neural.networks.training.cross | This package provides cross validation training. |
| org.encog.neural.networks.training.genetic | This package provides genetic training for neural networks. |
| org.encog.neural.networks.training.lma | This package provides Levenberg Marquardt training for neural networks. |
| org.encog.neural.networks.training.pnn | This package provides PNN training. |
| org.encog.neural.networks.training.propagation | This package provides propagation training for neural networks. |
| org.encog.neural.networks.training.simple | This package provides simple ADALINE training. |
| org.encog.neural.pattern | This package contains many helper classes to create neural network types. |
| org.encog.neural.pnn | This package contains the classes for the PNN. |
| org.encog.neural.rbf | This package contains classes for RBF networks. |
| org.encog.neural.som | This package contains classes for the SOM. |
| org.encog.neural.som.training.clustercopy | This package provides a very simple trianing method for SOM's. |
| org.encog.neural.thermal | This package implements thermal neural networks, such as Hopfield and Boltzmann machines. |
| org.encog.plugin | This package holds classes to implement plugins. |
| org.encog.plugin.system | This package holds the system plugins. |
| org.encog.util.error | |
| org.encog.util.simple | |
| org.encog.util.validate | |
| Classes in org.encog.ml used by org.encog.app.analyst | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.app.analyst.csv | |
|---|---|
| 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.mathutil.randomize | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.ml | |
|---|---|
| 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.factory | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.ml.factory.method | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.ml.factory.train | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.ml.kmeans | |
|---|---|
| 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.svm | |
|---|---|
| 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 | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.ml.train | |
|---|---|
| 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 | |
|---|---|
| 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 | |
|---|---|
| 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 | |
|---|---|
| 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 | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.neural.neat | |
|---|---|
| BasicML
A class that provides basic property functionality for the MLProperties interface. |
|
| MLContext
Defines a MLMethod that can hold context. |
|
| 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 | |
|---|---|
| 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.networks | |
|---|---|
| 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.networks.structure | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.neural.networks.training | |
|---|---|
| MLRegression
Defines a Machine Learning Method that supports regression. |
|
| Classes in org.encog.ml used by org.encog.neural.networks.training.cross | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.neural.networks.training.genetic | |
|---|---|
| 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 | |
|---|---|
| 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 | |
|---|---|
| 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 | |
|---|---|
| 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 | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.neural.pattern | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.neural.pnn | |
|---|---|
| BasicML
A class that provides basic property functionality for the MLProperties interface. |
|
| 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 | |
|---|---|
| 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. |
|
| Classes in org.encog.ml used by org.encog.neural.som | |
|---|---|
| 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.clustercopy | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.neural.thermal | |
|---|---|
| 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 | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.plugin.system | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
| Classes in org.encog.ml used by org.encog.util.error | |
|---|---|
| MLRegression
Defines a Machine Learning Method that supports regression. |
|
| Classes in org.encog.ml used by org.encog.util.simple | |
|---|---|
| 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 | |
|---|---|
| MLMethod
This interface is the base for all Encog Machine Learning methods. |
|
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