Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
MLRegression
Defines a Machine Learning Method that supports regression.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
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.
|
Class and Description |
---|
CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score
for a machine learning method.
|
Class and Description |
---|
CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score
for a machine learning method.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
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.
|
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.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
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.
|
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.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
Class and Description |
---|
CalculateScore
Used by simulated annealing and genetic algorithms to calculate the score
for a machine learning method.
|
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.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
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.
|
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.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
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.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
Class and Description |
---|
MLRegression
Defines a Machine Learning Method that supports regression.
|
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.
|
Class and Description |
---|
MLMethod
This interface is the base for all Encog Machine Learning methods.
|
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