| 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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