Package | Description |
---|---|
org.encog.ml.data.versatile | |
org.encog.ml.data.versatile.missing | |
org.encog.ml.data.versatile.normalizers | |
org.encog.ml.model |
Modifier and Type | Method and Description |
---|---|
ColumnDefinition |
VersatileMLDataSet.defineSourceColumn(String name,
ColumnType colType) |
ColumnDefinition |
VersatileMLDataSet.defineSourceColumn(String name,
int index,
ColumnType colType) |
ColumnDefinition |
NormalizationHelper.defineSourceColumn(String name,
int index,
ColumnType colType) |
Modifier and Type | Method and Description |
---|---|
List<ColumnDefinition> |
NormalizationHelper.getInputColumns() |
List<ColumnDefinition> |
NormalizationHelper.getOutputColumns() |
List<ColumnDefinition> |
NormalizationHelper.getSourceColumns() |
Modifier and Type | Method and Description |
---|---|
void |
NormalizationHelper.addSourceColumn(ColumnDefinition def) |
void |
VersatileMLDataSet.defineInput(ColumnDefinition col) |
void |
NormalizationHelper.defineMissingHandler(ColumnDefinition colDef,
MissingHandler handler) |
void |
VersatileMLDataSet.defineOutput(ColumnDefinition col) |
void |
VersatileMLDataSet.defineSingleOutputOthersInput(ColumnDefinition outputColumn) |
String |
BasicNormalizationStrategy.denormalizeColumn(ColumnDefinition colDef,
boolean isInput,
MLData data,
int dataColumn) |
String |
NormalizationStrategy.denormalizeColumn(ColumnDefinition colDef,
boolean b,
MLData output,
int idx) |
String |
Normalizer.denormalizeColumn(ColumnDefinition colDef,
MLData data,
int dataIndex)
Denormalize a value.
|
int |
BasicNormalizationStrategy.normalizeColumn(ColumnDefinition colDef,
boolean isInput,
double value,
double[] outputData,
int outputColumn) |
int |
NormalizationStrategy.normalizeColumn(ColumnDefinition colDef,
boolean isInput,
double value,
double[] outpuData,
int outputColumn) |
int |
BasicNormalizationStrategy.normalizeColumn(ColumnDefinition colDef,
boolean isInput,
String value,
double[] outputData,
int outputColumn) |
int |
NormalizationStrategy.normalizeColumn(ColumnDefinition colDef,
boolean isInput,
String value,
double[] outpuData,
int outputColumn) |
int |
Normalizer.normalizeColumn(ColumnDefinition colDef,
double value,
double[] outputData,
int outputIndex)
Normalize a column from a double.
|
int |
Normalizer.normalizeColumn(ColumnDefinition colDef,
String value,
double[] outputData,
int outputIndex)
Normalize a column from a string.
|
int |
BasicNormalizationStrategy.normalizedSize(ColumnDefinition colDef,
boolean isInput) |
int |
NormalizationStrategy.normalizedSize(ColumnDefinition colDef,
boolean isInput) |
int |
NormalizationHelper.normalizeToVector(ColumnDefinition colDef,
int outputColumn,
double[] output,
boolean isInput,
String value) |
int |
Normalizer.outputSize(ColumnDefinition colDef)
Determine the normalized size of the specified column.
|
Modifier and Type | Method and Description |
---|---|
void |
NormalizationHelper.setInputColumns(List<ColumnDefinition> inputColumns) |
void |
NormalizationHelper.setOutputColumns(List<ColumnDefinition> outputColumns) |
void |
NormalizationHelper.setSourceColumns(List<ColumnDefinition> sourceColumns) |
Modifier and Type | Method and Description |
---|---|
double |
MeanMissingHandler.process(ColumnDefinition colDef,
double value) |
double |
MissingHandler.process(ColumnDefinition colDef,
double value) |
String |
MeanMissingHandler.process(ColumnDefinition colDef,
String value) |
String |
MissingHandler.process(ColumnDefinition colDef,
String value) |
Modifier and Type | Method and Description |
---|---|
String |
OneOfNNormalizer.denormalizeColumn(ColumnDefinition colDef,
MLData data,
int dataColumn) |
String |
IndexedNormalizer.denormalizeColumn(ColumnDefinition colDef,
MLData data,
int dataColumn) |
String |
RangeOrdinal.denormalizeColumn(ColumnDefinition colDef,
MLData data,
int dataColumn) |
String |
RangeNormalizer.denormalizeColumn(ColumnDefinition colDef,
MLData data,
int dataColumn) |
String |
PassThroughNormalizer.denormalizeColumn(ColumnDefinition colDef,
MLData data,
int dataColumn) |
int |
OneOfNNormalizer.normalizeColumn(ColumnDefinition colDef,
double value,
double[] outputData,
int outputColumn) |
int |
IndexedNormalizer.normalizeColumn(ColumnDefinition colDef,
double value,
double[] outputData,
int outputColumn) |
int |
RangeOrdinal.normalizeColumn(ColumnDefinition colDef,
double value,
double[] outputData,
int outputColumn) |
int |
RangeNormalizer.normalizeColumn(ColumnDefinition colDef,
double value,
double[] outputData,
int outputColumn) |
int |
PassThroughNormalizer.normalizeColumn(ColumnDefinition colDef,
double value,
double[] outputData,
int outputColumn) |
int |
OneOfNNormalizer.normalizeColumn(ColumnDefinition colDef,
String value,
double[] outputData,
int outputColumn) |
int |
IndexedNormalizer.normalizeColumn(ColumnDefinition colDef,
String value,
double[] outputData,
int outputColumn) |
int |
RangeOrdinal.normalizeColumn(ColumnDefinition colDef,
String theValue,
double[] outputData,
int outputColumn) |
int |
RangeNormalizer.normalizeColumn(ColumnDefinition colDef,
String value,
double[] outputData,
int outputColumn) |
int |
PassThroughNormalizer.normalizeColumn(ColumnDefinition colDef,
String value,
double[] outputData,
int outputColumn) |
int |
OneOfNNormalizer.outputSize(ColumnDefinition colDef) |
int |
IndexedNormalizer.outputSize(ColumnDefinition colDef) |
int |
RangeOrdinal.outputSize(ColumnDefinition colDef) |
int |
RangeNormalizer.outputSize(ColumnDefinition colDef) |
int |
PassThroughNormalizer.outputSize(ColumnDefinition colDef) |
Modifier and Type | Method and Description |
---|---|
List<ColumnDefinition> |
EncogModel.getInputFeatures() |
List<ColumnDefinition> |
EncogModel.getPredictedFeatures() |
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