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#Org.encog.util.normalize Classes and Interfaces - 43 results found.
NameDescriptionTypePackageFramework
BasicInputFieldProvides basic functionality, such as min/max and current value for other input fields.Classorg.encog.util.normalize.inputHeatonReasearch
BasicOutputFieldProvides very basic functionality for output fields.Classorg.encog.util.normalize.outputHeatonReasearch
BasicOutputFieldGroupProvides very basic functionality that other output field groups will use.Classorg.encog.util.normalize.outputHeatonReasearch
DataNormalizationThis class is used to normalize both input and ideal data for neural networks.Classorg.encog.util.normalizeHeatonReasearch
HasFixedLengthIs this input field of a fixed length, such as an array? Or is it read "iterator style" where we call "next" until there is no more Interfaceorg.encog.util.normalize.inputHeatonReasearch
IndexRangeSegregatorAn index segregator is used to segregate the data according to its index.Classorg.encog.util.normalize.segregate.indexHeatonReasearch
IndexSampleSegregatorAn index segregator is used to segregate the data according to its index.Classorg.encog.util.normalize.segregate.indexHeatonReasearch
IndexSegregatorThe index segregator.Classorg.encog.util.normalize.segregate.indexHeatonReasearch
InputFieldA Normalization input field.Interfaceorg.encog.util.normalize.inputHeatonReasearch
InputFieldArray1DAn input field that comes from a 1D array.Classorg.encog.util.normalize.inputHeatonReasearch
InputFieldArray2DAn input field that comes from a 2D array.Classorg.encog.util.normalize.inputHeatonReasearch
InputFieldCSVAn input field based on a CSV file.Classorg.encog.util.normalize.inputHeatonReasearch
InputFieldCSVTextAn input field based on a CSV file.Classorg.encog.util.normalize.inputHeatonReasearch
InputFieldEncogCollectionClassorg.encog.util.normalize.inputHeatonReasearch
InputFieldMLDataSetAn input field based on an Encog NeuralDataSet.Classorg.encog.util.normalize.inputHeatonReasearch
IntegerBalanceSegregatorBalance based on an input value.Classorg.encog.util.normalize.segregateHeatonReasearch
MappedRangeSimple class that is used internally to hold a range mapping.Classorg.encog.util.normalize.output.mappedHeatonReasearch
MLDataFieldHolderSimple holder class used internally for Encog.Classorg.encog.util.normalize.inputHeatonReasearch
MultiplicativeGroupUsed to group multiplicative fields together.Classorg.encog.util.normalize.output.multiplicativeHeatonReasearch
NominalItemClassorg.encog.util.normalize.output.nominalHeatonReasearch
NormalizationErrorUsed for normalization errors.Classorg.encog.util.normalizeHeatonReasearch
NormalizationStorageDefines a means by which normalized data can be stored.Interfaceorg.encog.util.normalize.targetHeatonReasearch
NormalizationStorageArray1DOutput the normalized data to a 1D array.Classorg.encog.util.normalize.targetHeatonReasearch
NormalizationStorageArray2DOutput the normalized data to a 2D array.Classorg.encog.util.normalize.targetHeatonReasearch
NormalizationStorageCSVStore normalized data to a CSV file.Classorg.encog.util.normalize.targetHeatonReasearch
NormalizationStorageEncogCollectionClassorg.encog.util.normalize.targetHeatonReasearch
NormalizationStorageNeuralDataSetStore the normalized data to a neural data set.Classorg.encog.util.normalize.targetHeatonReasearch
OutputEquilateralAllows nominal items to be encoded using the equilateral method.Classorg.encog.util.normalize.output.nominalHeatonReasearch
OutputFieldAn output field, this represents the actual output from the normalization.Interfaceorg.encog.util.normalize.outputHeatonReasearch
OutputFieldDirectA direct output field, will simply pass the input value to the output.Classorg.encog.util.normalize.outputHeatonReasearch
OutputFieldEncodeAn encoded output field.Classorg.encog.util.normalize.output.mappedHeatonReasearch
OutputFieldGroupOutput fields can be grouped together if they are calculated together.Interfaceorg.encog.util.normalize.outputHeatonReasearch
OutputFieldGroupedDefines an output field that can be grouped.Classorg.encog.util.normalize.outputHeatonReasearch
OutputFieldMultiplicativeBoth the multiplicative and z-axis normalization types allow a group of outputs to be adjusted so that the "vector length" is 1.Classorg.encog.util.normalize.output.multiplicativeHeatonReasearch
OutputFieldRangeMappedA ranged mapped output field.Classorg.encog.util.normalize.outputHeatonReasearch
OutputFieldZAxisBoth the multiplicative and z-axis normalization types allow a group of outputs to be adjusted so that the "vector length" is 1.Classorg.encog.util.normalize.output.zaxisHeatonReasearch
OutputFieldZAxisSyntheticThis field represents the synthetic value used in Z-Axis normalization.Classorg.encog.util.normalize.output.zaxisHeatonReasearch
OutputOneOfAn output field that uses the "on of" technique to represent input data.Classorg.encog.util.normalize.output.nominalHeatonReasearch
RangeSegregatorRange segregators are used to segregate data and include or exclude if it is within a certain range.Classorg.encog.util.normalize.segregateHeatonReasearch
RequireTwoPassInterfaceorg.encog.util.normalize.outputHeatonReasearch
SegregationRangeSpecifies a range that might be included or excluded.Classorg.encog.util.normalize.segregateHeatonReasearch
SegregatorSegregators are used to exclude certain rows.Interfaceorg.encog.util.normalize.segregateHeatonReasearch
ZAxisGroupUsed to group Z-Axis fields together.Classorg.encog.util.normalize.output.zaxisHeatonReasearch