Package | Description |
---|---|
org.encog.ml.data.cross | |
org.encog.ml.data.versatile | |
org.encog.ml.data.versatile.division | |
org.encog.ml.model | |
org.encog.util.simple |
Modifier and Type | Method and Description |
---|---|
MatrixMLDataSet |
KFoldCrossvalidation.getBaseDataset() |
MatrixMLDataSet |
DataFold.getTraining() |
MatrixMLDataSet |
DataFold.getValidation() |
Constructor and Description |
---|
DataFold(MatrixMLDataSet theTraining,
MatrixMLDataSet theValidation) |
KFoldCrossvalidation(MatrixMLDataSet theBaseDataset,
int theK) |
Modifier and Type | Class and Description |
---|---|
class |
VersatileMLDataSet
The versatile dataset supports several advanced features.
|
Constructor and Description |
---|
MatrixMLDataSet(MatrixMLDataSet data,
int[] mask)
Construct the dataset from another matrix dataset.
|
Modifier and Type | Method and Description |
---|---|
MatrixMLDataSet |
DataDivision.getDataset() |
Modifier and Type | Method and Description |
---|---|
void |
DataDivision.setDataset(MatrixMLDataSet dataset) |
Modifier and Type | Method and Description |
---|---|
MatrixMLDataSet |
EncogModel.getTrainingDataset() |
MatrixMLDataSet |
EncogModel.getValidationDataset() |
Modifier and Type | Method and Description |
---|---|
void |
EncogModel.setTrainingDataset(MatrixMLDataSet trainingDataset) |
void |
EncogModel.setValidationDataset(MatrixMLDataSet validationDataset) |
Modifier and Type | Method and Description |
---|---|
static void |
EncogUtility.explainErrorMSE(MLRegression method,
MatrixMLDataSet training) |
static void |
EncogUtility.explainErrorRMS(MLRegression method,
MatrixMLDataSet training) |
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