Interface | Description |
---|---|
CalculateScore |
Used by simulated annealing and genetic algorithms to calculate the score
for a machine learning method.
|
MethodFactory |
Factor MLMethods.
|
MLAutoAssocation |
Defines a MLMethod that can handle autoassocation.
|
MLClassification |
This interface defines a MLMethod that is used for classification.
|
MLCluster |
Defines a cluster.
|
MLClustering |
A machine learning method that is used to break data into clusters.
|
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.
|
MLStateSequence |
A state sequence ML method, for example a Hidden Markov Model.
|
Class | Description |
---|---|
BasicML |
A class that provides basic property functionality for the MLProperties
interface.
|
Enum | Description |
---|---|
TrainingImplementationType |
Specifies the type of training that an object provides.
|
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