Package | Description |
---|---|
org.encog.ml.data.versatile.division | |
org.encog.ml.model | |
org.encog.ml.model.config |
Modifier and Type | Method and Description |
---|---|
void |
PerformDataDivision.perform(List<DataDivision> dataDivisionList,
VersatileMLDataSet dataset,
int inputCount,
int idealCount)
Perform the split.
|
Modifier and Type | Method and Description |
---|---|
VersatileMLDataSet |
EncogModel.getDataset() |
Modifier and Type | Method and Description |
---|---|
void |
EncogModel.selectMethod(VersatileMLDataSet dataset,
String methodType)
Select the method to create.
|
void |
EncogModel.selectMethod(VersatileMLDataSet dataset,
String methodType,
String methodArgs,
String trainingType,
String trainingArgs)
Select the method to use.
|
void |
EncogModel.selectTraining(VersatileMLDataSet dataset,
String trainingType,
String trainingArgs)
Select the training to use.
|
void |
EncogModel.selectTrainingType(VersatileMLDataSet dataset)
Select the training type.
|
Constructor and Description |
---|
EncogModel(VersatileMLDataSet theDataset)
Construct a model for the specified dataset.
|
Modifier and Type | Method and Description |
---|---|
int |
MethodConfig.determineOutputCount(VersatileMLDataSet dataset)
Determine the needed output count.
|
int |
PNNConfig.determineOutputCount(VersatileMLDataSet dataset)
Determine the needed output count.
|
int |
SVMConfig.determineOutputCount(VersatileMLDataSet dataset) |
int |
RBFNetworkConfig.determineOutputCount(VersatileMLDataSet dataset)
Determine the needed output count.
|
int |
FeedforwardConfig.determineOutputCount(VersatileMLDataSet dataset)
Determine the needed output count.
|
int |
NEATConfig.determineOutputCount(VersatileMLDataSet dataset)
Determine the needed output count.
|
String |
MethodConfig.suggestModelArchitecture(VersatileMLDataSet dataset)
Suggest a model architecture, based on a dataset.
|
String |
PNNConfig.suggestModelArchitecture(VersatileMLDataSet dataset)
Suggest a model architecture, based on a dataset.
|
String |
SVMConfig.suggestModelArchitecture(VersatileMLDataSet dataset)
Suggest a model architecture, based on a dataset.
|
String |
RBFNetworkConfig.suggestModelArchitecture(VersatileMLDataSet dataset)
Suggest a model architecture, based on a dataset.
|
String |
FeedforwardConfig.suggestModelArchitecture(VersatileMLDataSet dataset)
Suggest a model architecture, based on a dataset.
|
String |
NEATConfig.suggestModelArchitecture(VersatileMLDataSet dataset)
Suggest a model architecture, based on a dataset.
|
NormalizationStrategy |
MethodConfig.suggestNormalizationStrategy(VersatileMLDataSet dataset,
String architecture)
Suggest a normalization strategy based on a dataset.
|
NormalizationStrategy |
PNNConfig.suggestNormalizationStrategy(VersatileMLDataSet dataset,
String architecture)
Suggest a normalization strategy based on a dataset.
|
NormalizationStrategy |
SVMConfig.suggestNormalizationStrategy(VersatileMLDataSet dataset,
String architecture)
Suggest a normalization strategy based on a dataset.
|
NormalizationStrategy |
RBFNetworkConfig.suggestNormalizationStrategy(VersatileMLDataSet dataset,
String architecture)
Suggest a normalization strategy based on a dataset.
|
NormalizationStrategy |
FeedforwardConfig.suggestNormalizationStrategy(VersatileMLDataSet dataset,
String architecture)
Suggest a normalization strategy based on a dataset.
|
NormalizationStrategy |
NEATConfig.suggestNormalizationStrategy(VersatileMLDataSet dataset,
String architecture)
Suggest a normalization strategy based on a dataset.
|
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