Name | Description | Type | Package | Framework |
BasicInputField | Provides basic functionality, such as min/max and current value for other input fields. | Class | org.encog.util.normalize.input | HeatonReasearch |
BasicOutputField | Provides very basic functionality for output fields. | Class | org.encog.util.normalize.output | HeatonReasearch |
BasicOutputFieldGroup | Provides very basic functionality that other output field groups will use. | Class | org.encog.util.normalize.output | HeatonReasearch |
DataNormalization | This class is used to normalize both input and ideal data for neural networks. | Class | org.encog.util.normalize | HeatonReasearch |
HasFixedLength | Is 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 | Interface | org.encog.util.normalize.input | HeatonReasearch |
IndexRangeSegregator | An index segregator is used to segregate the data according to its index. | Class | org.encog.util.normalize.segregate.index | HeatonReasearch |
IndexSampleSegregator | An index segregator is used to segregate the data according to its index. | Class | org.encog.util.normalize.segregate.index | HeatonReasearch |
IndexSegregator | The index segregator. | Class | org.encog.util.normalize.segregate.index | HeatonReasearch |
InputField | A Normalization input field. | Interface | org.encog.util.normalize.input | HeatonReasearch |
InputFieldArray1D | An input field that comes from a 1D array. | Class | org.encog.util.normalize.input | HeatonReasearch |
InputFieldArray2D | An input field that comes from a 2D array. | Class | org.encog.util.normalize.input | HeatonReasearch |
InputFieldCSV | An input field based on a CSV file. | Class | org.encog.util.normalize.input | HeatonReasearch |
InputFieldCSVText | An input field based on a CSV file. | Class | org.encog.util.normalize.input | HeatonReasearch |
InputFieldEncogCollection | Class | org.encog.util.normalize.input | HeatonReasearch | |
InputFieldMLDataSet | An input field based on an Encog NeuralDataSet. | Class | org.encog.util.normalize.input | HeatonReasearch |
IntegerBalanceSegregator | Balance based on an input value. | Class | org.encog.util.normalize.segregate | HeatonReasearch |
MappedRange | Simple class that is used internally to hold a range mapping. | Class | org.encog.util.normalize.output.mapped | HeatonReasearch |
MLDataFieldHolder | Simple holder class used internally for Encog. | Class | org.encog.util.normalize.input | HeatonReasearch |
MultiplicativeGroup | Used to group multiplicative fields together. | Class | org.encog.util.normalize.output.multiplicative | HeatonReasearch |
NominalItem | Class | org.encog.util.normalize.output.nominal | HeatonReasearch | |
NormalizationError | Used for normalization errors. | Class | org.encog.util.normalize | HeatonReasearch |
NormalizationStorage | Defines a means by which normalized data can be stored. | Interface | org.encog.util.normalize.target | HeatonReasearch |
NormalizationStorageArray1D | Output the normalized data to a 1D array. | Class | org.encog.util.normalize.target | HeatonReasearch |
NormalizationStorageArray2D | Output the normalized data to a 2D array. | Class | org.encog.util.normalize.target | HeatonReasearch |
NormalizationStorageCSV | Store normalized data to a CSV file. | Class | org.encog.util.normalize.target | HeatonReasearch |
NormalizationStorageEncogCollection | Class | org.encog.util.normalize.target | HeatonReasearch | |
NormalizationStorageNeuralDataSet | Store the normalized data to a neural data set. | Class | org.encog.util.normalize.target | HeatonReasearch |
OutputEquilateral | Allows nominal items to be encoded using the equilateral method. | Class | org.encog.util.normalize.output.nominal | HeatonReasearch |
OutputField | An output field, this represents the actual output from the normalization. | Interface | org.encog.util.normalize.output | HeatonReasearch |
OutputFieldDirect | A direct output field, will simply pass the input value to the output. | Class | org.encog.util.normalize.output | HeatonReasearch |
OutputFieldEncode | An encoded output field. | Class | org.encog.util.normalize.output.mapped | HeatonReasearch |
OutputFieldGroup | Output fields can be grouped together if they are calculated together. | Interface | org.encog.util.normalize.output | HeatonReasearch |
OutputFieldGrouped | Defines an output field that can be grouped. | Class | org.encog.util.normalize.output | HeatonReasearch |
OutputFieldMultiplicative | Both the multiplicative and z-axis normalization types allow a group of outputs to be adjusted so that the "vector length" is 1. | Class | org.encog.util.normalize.output.multiplicative | HeatonReasearch |
OutputFieldRangeMapped | A ranged mapped output field. | Class | org.encog.util.normalize.output | HeatonReasearch |
OutputFieldZAxis | Both the multiplicative and z-axis normalization types allow a group of outputs to be adjusted so that the "vector length" is 1. | Class | org.encog.util.normalize.output.zaxis | HeatonReasearch |
OutputFieldZAxisSynthetic | This field represents the synthetic value used in Z-Axis normalization. | Class | org.encog.util.normalize.output.zaxis | HeatonReasearch |
OutputOneOf | An output field that uses the "on of" technique to represent input data. | Class | org.encog.util.normalize.output.nominal | HeatonReasearch |
RangeSegregator | Range segregators are used to segregate data and include or exclude if it is within a certain range. | Class | org.encog.util.normalize.segregate | HeatonReasearch |
RequireTwoPass | Interface | org.encog.util.normalize.output | HeatonReasearch | |
SegregationRange | Specifies a range that might be included or excluded. | Class | org.encog.util.normalize.segregate | HeatonReasearch |
Segregator | Segregators are used to exclude certain rows. | Interface | org.encog.util.normalize.segregate | HeatonReasearch |
ZAxisGroup | Used to group Z-Axis fields together. | Class | org.encog.util.normalize.output.zaxis | HeatonReasearch |