Modifier and Type | Interface and Description |
---|---|
interface |
EnsembleML |
Modifier and Type | Class and Description |
---|---|
class |
GenericEnsembleML |
Modifier and Type | Class and Description |
---|---|
class |
BayesianNetwork
The Bayesian Network is a machine learning method that is based on
probability, and particularly Bayes' Rule.
|
Modifier and Type | Class and Description |
---|---|
class |
SVM
This is a network that is backed by one or more Support Vector Machines
(SVM).
|
Modifier and Type | Class and Description |
---|---|
class |
ART1
Implements an ART1 neural network.
|
Modifier and Type | Class and Description |
---|---|
class |
FreeformNetwork
Implements a freefrom neural network.
|
Modifier and Type | Class and Description |
---|---|
class |
BasicNetwork
This class implements a neural network.
|
Modifier and Type | Class and Description |
---|---|
class |
BasicPNN
This class implements either a:
Probabilistic Neural Network (PNN)
General Regression Neural Network (GRNN)
To use a PNN specify an output mode of classification, to make use of a GRNN
specify either an output mode of regression or un-supervised autoassociation.
|
Modifier and Type | Class and Description |
---|---|
class |
SOM
A self organizing map neural network.
|
Modifier and Type | Method and Description |
---|---|
static double |
EncogUtility.calculateClassificationError(MLClassification method,
MLDataSet data)
Calculate the classification error.
|
Copyright © 2014. All Rights Reserved.