Serialized Form (encog-java-core 3.4 API)

Package org.encog
- Class org.encog.EncogError extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  -5909341149180956178L
Package org.encog.app.analyst
- Class org.encog.app.analyst.AnalystError extends EncogError implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.app.generate
- Class org.encog.app.generate.AnalystCodeGenerationError extends AnalystError implements Serializable
  
  serialVersionUID:
  
  0L
Package org.encog.app.quant
- Class org.encog.app.quant.QuantError extends EncogError implements Serializable
  
  serialVersionUID:
  
  4280940104791165511L
Package org.encog.app.quant.loader
- Class org.encog.app.quant.loader.LoaderError extends QuantError implements Serializable
  
  serialVersionUID:
  
  7737393439642876303L
Package org.encog.bot
- Class org.encog.bot.BotError extends EncogError implements Serializable
  
  serialVersionUID:
  
  4280940104791165511L
Package org.encog.bot.browse
- Class org.encog.bot.browse.BrowseError extends BotError implements Serializable
  
  serialVersionUID:
  
  -7166136514935838114L
Package org.encog.ca
- Class org.encog.ca.CellularAutomataError extends EncogError implements Serializable
  
  serialVersionUID:
  
  0L
Package org.encog.ca.program.basic
- Class org.encog.ca.program.basic.BasicProgram extends java.lang.Object implements Serializable
  - Serialized Fields
    - movements
```
Movement[] movements
```
- Class org.encog.ca.program.basic.Movement extends java.lang.Object implements Serializable
  - Serialized Fields
    - rowMovement
```
int rowMovement
```
    - columnmMovement
```
int columnmMovement
```
Package org.encog.ca.program.conway
- Class org.encog.ca.program.conway.ConwayProgram extends BasicProgram implements Serializable
  - Serialized Fields
    - sourceUniverse
```
Universe sourceUniverse
```
    - targetUniverse
```
Universe targetUniverse
```
Package org.encog.ca.program.elementary
- Class org.encog.ca.program.elementary.ElementaryCA extends BasicProgram implements Serializable
  - Serialized Fields
    - output
```
boolean[] output
```
    - currentRow
```
int currentRow
```
    - rule
```
int rule
```
    - sourceUniverse
```
Universe sourceUniverse
```
    - targetUniverse
```
Universe targetUniverse
```
Package org.encog.ca.program.generic
- Class org.encog.ca.program.generic.GenericCA extends BasicProgram implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - physics
```
double[] physics
```
    - stepTrans
```
java.util.Set<E> stepTrans
```
    - finalTrans
```
java.util.Set<E> finalTrans
```
    - sourceUniverse
```
Universe sourceUniverse
```
    - targetUniverse
```
Universe targetUniverse
```
    - ruleCount
```
int ruleCount
```
- Class org.encog.ca.program.generic.Trans extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - limit
```
double limit
```
    - add1
```
UniverseCell add1
```
    - mult
```
UniverseCell mult
```
    - add2
```
UniverseCell add2
```
    - factory
```
UniverseCellFactory factory
```
Package org.encog.ca.universe.basic
- Class org.encog.ca.universe.basic.BasicCellFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - size
```
int size
```
    - min
```
double min
```
    - max
```
double max
```
    - elementCount
```
int elementCount
```
- Class org.encog.ca.universe.basic.BasicContinuousCell extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - data
```
double[] data
```
    - min
```
double min
```
    - max
```
double max
```
- Class org.encog.ca.universe.basic.BasicDiscreteCell extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - data
```
int[] data
```
    - elementCount
```
int elementCount
```
- Class org.encog.ca.universe.basic.BasicUniverse extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - data
```
UniverseCell[][] data
```
    - cellFactory
```
UniverseCellFactory cellFactory
```
Package org.encog.engine.network.activation
- Class org.encog.engine.network.activation.ActivationBiPolar extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7166136514935838114L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationBipolarSteepenedSigmoid extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.engine.network.activation.ActivationClippedLinear extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.engine.network.activation.ActivationCompetitive extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5396927873082336888L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationElliott extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1234L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationElliottSymmetric extends java.lang.Object implements Serializable
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationGaussian extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7166136514935838114L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationLinear extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5356580554235104944L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationLOG extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7134233791725797522L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationRamp extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6336245112244386279L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationReLU extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6336245112244386279L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationSigmoid extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5622349801036468572L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationSIN extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5301501177778271284L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationSoftMax extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -960489243250457611L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationSteepenedSigmoid extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationStep extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3416782010146745754L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
- Class org.encog.engine.network.activation.ActivationTANH extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  9121998892720207643L
  - Serialized Fields
    - params
```
double[] params
```
      The parameters.
Package org.encog.ensemble
- Class org.encog.ensemble.Ensemble.NotPossibleInThisMethod extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  5118253806179408868L
- Class org.encog.ensemble.Ensemble.TrainingAborted extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  -5074472788684621859L
Package org.encog.ensemble.aggregator
- Class org.encog.ensemble.aggregator.WeightedAveraging.WeightMismatchException extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  327652547599703252L
Package org.encog.mathutil
- Class org.encog.mathutil.EncogMathError extends EncogError implements Serializable
  
  serialVersionUID:
  
  6219065927838486625L
- Class org.encog.mathutil.Equilateral extends java.lang.Object implements Serializable
  - Serialized Fields
    - matrix
```
double[][] matrix
```
      The matrix of values that was generated.
- Class org.encog.mathutil.IntPair extends java.lang.Object implements Serializable
  - Serialized Fields
    - x
```
int x
```
    - y
```
int y
```
Package org.encog.mathutil.libsvm
- Class org.encog.mathutil.libsvm.svm_model extends java.lang.Object implements Serializable
  - Serialized Fields
    - param
```
svm_parameter param
```
    - nr_class
```
int nr_class
```
    - l
```
int l
```
    - SV
```
svm_node[][] SV
```
    - sv_coef
```
double[][] sv_coef
```
    - rho
```
double[] rho
```
    - probA
```
double[] probA
```
    - probB
```
double[] probB
```
    - label
```
int[] label
```
    - nSV
```
int[] nSV
```
- Class org.encog.mathutil.libsvm.svm_node extends java.lang.Object implements Serializable
  - Serialized Fields
    - index
```
int index
```
    - value
```
double value
```
- Class org.encog.mathutil.libsvm.svm_parameter extends java.lang.Object implements Serializable
  - Serialized Fields
    - svm_type
```
int svm_type
```
    - kernel_type
```
int kernel_type
```
    - degree
```
int degree
```
    - gamma
```
double gamma
```
    - coef0
```
double coef0
```
    - cache_size
```
double cache_size
```
    - eps
```
double eps
```
    - C
```
double C
```
    - nr_weight
```
int nr_weight
```
    - weight_label
```
int[] weight_label
```
    - weight
```
double[] weight
```
    - nu
```
double nu
```
    - p
```
double p
```
    - shrinking
```
int shrinking
```
    - probability
```
int probability
```
- Class org.encog.mathutil.libsvm.svm_problem extends java.lang.Object implements Serializable
  - Serialized Fields
    - l
```
int l
```
    - y
```
double[] y
```
    - x
```
svm_node[][] x
```
Package org.encog.mathutil.matrices
- Class org.encog.mathutil.matrices.Matrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7977897210426471675L
  - Serialized Fields
    - matrix
```
double[][] matrix
```
      The matrix data.
- Class org.encog.mathutil.matrices.MatrixError extends EncogError implements Serializable
  
  serialVersionUID:
  
  -8961386981267748942L
Package org.encog.mathutil.matrices.decomposition
- Class org.encog.mathutil.matrices.decomposition.CholeskyDecomposition extends java.lang.Object implements Serializable
  - Serialized Fields
    - l
```
double[][] l
```
      Array for internal storage of decomposition.
    - n
```
int n
```
      Row and column dimension (square matrix).
    - isspd
```
boolean isspd
```
      Symmetric and positive definite flag.
Package org.encog.mathutil.probability.vars
- Class org.encog.mathutil.probability.vars.RandomVariable extends java.lang.Object implements Serializable
  - Serialized Fields
    - label
```
java.lang.String label
```
    - choices
```
java.lang.String[] choices
```
Package org.encog.mathutil.randomize
- Class org.encog.mathutil.randomize.RandomChoice extends java.lang.Object implements Serializable
  - Serialized Fields
    - probabilities
```
double[] probabilities
```
      The probabilities of each item in the list.
Package org.encog.mathutil.randomize.factory
- Class org.encog.mathutil.randomize.factory.BasicRandomFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - seedProducer
```
java.util.Random seedProducer
```
      A random generator to generate random seeds.
Package org.encog.mathutil.rbf
- Class org.encog.mathutil.rbf.BasicRBF extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - center
```
double[] center
```
      The center of the RBF.
    - peak
```
double peak
```
      The peak of the RBF.
    - width
```
double width
```
      The width of the RBF.
- Class org.encog.mathutil.rbf.GaussianFunction extends BasicRBF implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.mathutil.rbf.InverseMultiquadricFunction extends BasicRBF implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.mathutil.rbf.MexicanHatFunction extends BasicRBF implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.mathutil.rbf.MultiquadricFunction extends BasicRBF implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.ml
- Class org.encog.ml.BasicML extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - properties
```
java.util.Map<K,V> properties
```
      Properties about the neural network. Some NeuralLogic classes require certain properties to be set.
Package org.encog.ml.bayesian
- Class org.encog.ml.bayesian.BayesianChoice extends java.lang.Object implements Serializable
  - Serialized Fields
    - label
```
java.lang.String label
```
      The label for this choice.
    - min
```
double min
```
      The min values, if continuous, or the index if discrete.
    - max
```
double max
```
      The max values, if continuous, or the index if discrete.
- Class org.encog.ml.bayesian.BayesianError extends EncogError implements Serializable
- Class org.encog.ml.bayesian.BayesianEvent extends java.lang.Object implements Serializable
  - Serialized Fields
    - label
```
java.lang.String label
```
      The label for this event.
    - parents
```
java.util.List<E> parents
```
      The parents, or given.
    - children
```
java.util.List<E> children
```
      The children, or events that use us as a given.
    - choices
```
java.util.Set<E> choices
```
      The discrete choices that make up the state of this event.
    - table
```
BayesianTable table
```
      The truth table for this event.
    - minimumChoiceIndex
```
int minimumChoiceIndex
```
      The index of the minimum choice.
    - minimumChoice
```
double minimumChoice
```
      THe value of the minimum choice.
    - maximumChoiceIndex
```
int maximumChoiceIndex
```
      The index of the maximum choice.
    - maximumChoice
```
double maximumChoice
```
      The value of the maximum choice.
- Class org.encog.ml.bayesian.BayesianNetwork extends BasicML implements Serializable
  - Serialized Fields
    - eventMap
```
java.util.Map<K,V> eventMap
```
      Mapping between the event string names, and the actual events.
    - events
```
java.util.List<E> events
```
      A listing of all of the events.
    - query
```
BayesianQuery query
```
      The current Bayesian query.
    - inputPresent
```
boolean[] inputPresent
```
      Specifies if each input is present.
    - classificationTarget
```
int classificationTarget
```
      Specifies the classification target.
    - classificationProbabilities
```
double[] classificationProbabilities
```
      The probabilities of each classification.
Package org.encog.ml.bayesian.query
- Class org.encog.ml.bayesian.query.BasicQuery extends java.lang.Object implements Serializable
  - Serialized Fields
    - network
```
BayesianNetwork network
```
      The network to be queried.
    - events
```
java.util.Map<K,V> events
```
      A mapping of the events to event states.
    - evidenceEvents
```
java.util.List<E> evidenceEvents
```
      The evidence events.
    - outcomeEvents
```
java.util.List<E> outcomeEvents
```
      The outcome events.
Package org.encog.ml.bayesian.query.enumerate
- Class org.encog.ml.bayesian.query.enumerate.EnumerationQuery extends BasicQuery implements Serializable
  - Serialized Fields
    - enumerationEvents
```
java.util.List<E> enumerationEvents
```
      The events that we will enumerate over.
    - probability
```
double probability
```
      The calculated probability.
Package org.encog.ml.bayesian.query.sample
- Class org.encog.ml.bayesian.query.sample.EventState extends java.lang.Object implements Serializable
  - Serialized Fields
    - calculated
```
boolean calculated
```
      Has this event been calculated yet?
    - value
```
int value
```
      The current value of this event.
    - event
```
BayesianEvent event
```
      The event that this state is connected to.
    - eventType
```
EventType eventType
```
      The type of event that this is for the query.
    - compareValue
```
int compareValue
```
      The value that we are comparing to, for probability.
- Class org.encog.ml.bayesian.query.sample.SamplingQuery extends BasicQuery implements Serializable
  - Serialized Fields
    - sampleSize
```
int sampleSize
```
      The sample size.
    - usableSamples
```
int usableSamples
```
      The number of usable samples. This is the set size for the average probability.
    - goodSamples
```
int goodSamples
```
      The number of samples that matched the result the query is looking for.
    - totalSamples
```
int totalSamples
```
      The total number of samples generated. This should match sampleSize at the end of a query.
Package org.encog.ml.bayesian.table
- Class org.encog.ml.bayesian.table.BayesianTable extends java.lang.Object implements Serializable
  - Serialized Fields
    - event
```
BayesianEvent event
```
      The event that owns this truth table.
    - lines
```
java.util.List<E> lines
```
      The lines of the truth table.
- Class org.encog.ml.bayesian.table.TableLine extends java.lang.Object implements Serializable
  - Serialized Fields
    - probability
```
double probability
```
      The probability.
    - result
```
int result
```
      The result.
    - arguments
```
int[] arguments
```
      The arguments.
Package org.encog.ml.data
- Class org.encog.ml.data.MLDataError extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  7167228729133120101L
Package org.encog.ml.data.auto
- Class org.encog.ml.data.auto.AutoFloatDataSet extends java.lang.Object implements Serializable
  - Serialized Fields
    - sourceInputCount
```
int sourceInputCount
```
    - sourceIdealCount
```
int sourceIdealCount
```
    - inputWindowSize
```
int inputWindowSize
```
    - outputWindowSize
```
int outputWindowSize
```
    - columns
```
java.util.List<E> columns
```
    - normalizedMax
```
float normalizedMax
```
    - normalizedMin
```
float normalizedMin
```
    - normalizationEnabled
```
boolean normalizationEnabled
```
Package org.encog.ml.data.basic
- Class org.encog.ml.data.basic.BasicMLData extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3644304891793584603L
  - Serialized Fields
    - data
```
double[] data
```
      The data held by this object.
- Class org.encog.ml.data.basic.BasicMLDataPair extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -9068229682273861359L
  - Serialized Fields
    - significance
```
double significance
```
      The significance.
    - ideal
```
MLData ideal
```
      The the expected output from the machine learning method, or null for unsupervised training.
    - input
```
MLData input
```
      The training input to the machine learning method.
- Class org.encog.ml.data.basic.BasicMLDataSet extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2279722928570071183L
  - Serialized Fields
    - data
```
java.util.List<E> data
```
      The data held by this object.
- Class org.encog.ml.data.basic.BasicMLSequenceSet extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2279722928570071183L
  - Serialized Fields
    - sequences
```
java.util.List<E> sequences
```
      The data held by this object.
    - currentSequence
```
MLDataSet currentSequence
```
Package org.encog.ml.data.buffer
- Class org.encog.ml.data.buffer.BufferedDataError extends EncogError implements Serializable
  
  serialVersionUID:
  
  2889950431643029874L
- Class org.encog.ml.data.buffer.BufferedMLDataSet extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2577778772598513566L
  - Serialized Fields
    - file
```
java.io.File file
```
      The file being used.
Package org.encog.ml.data.market
- Class org.encog.ml.data.market.MarketError extends TemporalError implements Serializable
  
  serialVersionUID:
  
  9199552396430520659L
- Class org.encog.ml.data.market.MarketMLDataSet extends TemporalMLDataSet implements Serializable
  
  serialVersionUID:
  
  170791819906003867L
  - Serialized Fields
    - loader
```
MarketLoader loader
```
      The loader to use to obtain the data.
    - pointIndex
```
java.util.Map<K,V> pointIndex
```
      A map between the data points and actual data.
Package org.encog.ml.data.market.loader
- Class org.encog.ml.data.market.loader.LoaderError extends MarketError implements Serializable
  
  serialVersionUID:
  
  4525043656696667974L
Package org.encog.ml.data.sparse
- Class org.encog.ml.data.sparse.SparseMLData extends java.lang.Object implements Serializable
  - Serialized Fields
    - index
```
int[] index
```
    - data
```
double[] data
```
      The data held by this object.
Package org.encog.ml.data.specific
- Class org.encog.ml.data.specific.BiPolarNeuralData extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6082894455587612231L
  - Serialized Fields
    - data
```
boolean[] data
```
      The data held by this object.
- Class org.encog.ml.data.specific.CSVNeuralDataSet extends BasicMLDataSet implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - filename
```
java.lang.String filename
```
      The CSV filename to read from.
    - format
```
CSVFormat format
```
      The format of this CSV file.
Package org.encog.ml.data.temporal
- Class org.encog.ml.data.temporal.TemporalError extends EncogError implements Serializable
  
  serialVersionUID:
  
  -5534812476029464649L
- Class org.encog.ml.data.temporal.TemporalMLDataSet extends BasicNeuralDataSet implements Serializable
  
  serialVersionUID:
  
  7846736117000051687L
  - Serialized Fields
    - descriptions
```
java.util.List<E> descriptions
```
      Descriptions of the data needed.
    - points
```
java.util.List<E> points
```
      The temporal points at which we have data.
    - inputWindowSize
```
int inputWindowSize
```
      The size of the input window, this is the data being used to predict.
    - predictWindowSize
```
int predictWindowSize
```
      The size of the prediction window.
    - lowSequence
```
int lowSequence
```
      The lowest sequence.
    - highSequence
```
int highSequence
```
      The highest sequence.
    - desiredSetSize
```
int desiredSetSize
```
      How big would we like the input size to be.
    - inputNeuronCount
```
int inputNeuronCount
```
      How many input neurons will be used.
    - outputNeuronCount
```
int outputNeuronCount
```
      How many output neurons will there be.
    - startingPoint
```
java.util.Date startingPoint
```
      What is the date for the first temporal point.
    - sequenceGrandularity
```
TimeUnit sequenceGrandularity
```
      What is the granularity of the temporal points? Days, months, years, etc?
Package org.encog.ml.data.versatile
- Class org.encog.ml.data.versatile.NormalizationHelper extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - sourceColumns
```
java.util.List<E> sourceColumns
```
      The source columns from the original file. These are then added to the input and output columns.
    - inputColumns
```
java.util.List<E> inputColumns
```
      The columns, from the source columns, used for input to the model.
    - outputColumns
```
java.util.List<E> outputColumns
```
      The columns, from the source columns, used for output from the model.
    - normStrategy
```
NormalizationStrategy normStrategy
```
      The normalizaton strategy to use.
    - format
```
CSVFormat format
```
      The CSV format to use.
    - unknownValues
```
java.util.List<E> unknownValues
```
      What to do with unknown values.
    - missingHandlers
```
java.util.Map<K,V> missingHandlers
```
      The missing column handlers.
Package org.encog.ml.data.versatile.columns
- Class org.encog.ml.data.versatile.columns.ColumnDefinition extends java.lang.Object implements Serializable
  - Serialized Fields
    - name
```
java.lang.String name
```
      The name of the column.
    - dataType
```
ColumnType dataType
```
      Tye type of column.
    - low
```
double low
```
      The observed low in a dataset.
    - high
```
double high
```
      The observed high in a dataset.
    - mean
```
double mean
```
      The observed mean in a dataset.
    - sd
```
double sd
```
      The observed standard deviation in a dataset.
    - count
```
int count
```
      The observed count for a catagorical column.
    - index
```
int index
```
      The index of this column in the dataset.
    - classes
```
java.util.List<E> classes
```
      The classes of a catagorical.
    - owner
```
NormalizationHelper owner
```
      The normalization helper.
Package org.encog.ml.data.versatile.missing
- Class org.encog.ml.data.versatile.missing.MeanMissingHandler extends java.lang.Object implements Serializable
Package org.encog.ml.data.versatile.normalizers
- Class org.encog.ml.data.versatile.normalizers.IndexedNormalizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.data.versatile.normalizers.OneOfNNormalizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - normalizedLow
```
double normalizedLow
```
      The normalized low.
    - normalizedHigh
```
double normalizedHigh
```
      The normalized high.
- Class org.encog.ml.data.versatile.normalizers.PassThroughNormalizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.data.versatile.normalizers.RangeNormalizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - normalizedLow
```
double normalizedLow
```
      The normalized low value.
    - normalizedHigh
```
double normalizedHigh
```
      The normalized high value.
- Class org.encog.ml.data.versatile.normalizers.RangeOrdinal extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - normalizedLow
```
double normalizedLow
```
      The low range of the normalized data.
    - normalizedHigh
```
double normalizedHigh
```
      The high range of the normalized data.
Package org.encog.ml.data.versatile.normalizers.strategies
- Class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - inputNormalizers
```
java.util.Map<K,V> inputNormalizers
```
      Mapping to all of the input normalizers.
    - outputNormalizers
```
java.util.Map<K,V> outputNormalizers
```
      Mapping to all of the output normalizers.
Package org.encog.ml.ea.exception
- Class org.encog.ml.ea.exception.EACompileError extends EAError implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.ea.exception.EAError extends EncogError implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.ea.exception.EARuntimeError extends EAError implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.ml.ea.genome
- Class org.encog.ml.ea.genome.BasicGenome extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - adjustedScore
```
double adjustedScore
```
      The adjusted score. If unknown, it is set to NaN.
    - score
```
double score
```
      The score of this genome.
    - population
```
Population population
```
      The population this genome belongs to.
    - birthGeneration
```
int birthGeneration
```
      The birth generation for this genome.
    - species
```
Species species
```
      The species of this genome.
    - source
```
java.lang.String source
```
      The source of this genome.
Package org.encog.ml.ea.opp
- Class org.encog.ml.ea.opp.CompoundOperator extends java.lang.Object implements Serializable
  - Serialized Fields
    - owner
```
EvolutionaryAlgorithm owner
```
      The owner of this operator.
    - components
```
OperationList components
```
      The sub-operators that make up this compound operator.
- Class org.encog.ml.ea.opp.OperationList extends ChooseObject<EvolutionaryOperator> implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.ml.ea.opp.selection
- Class org.encog.ml.ea.opp.selection.TournamentSelection extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - trainer
```
EvolutionaryAlgorithm trainer
```
      The trainer being used.
    - rounds
```
int rounds
```
      The number of rounds.
- Class org.encog.ml.ea.opp.selection.TruncationSelection extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - trainer
```
EvolutionaryAlgorithm trainer
```
      The trainer.
    - percent
```
double percent
```
      The percent to select from.
Package org.encog.ml.ea.population
- Class org.encog.ml.ea.population.BasicPopulation extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - name
```
java.lang.String name
```
      The object name.
    - species
```
java.util.List<E> species
```
      The species that make up the population.
    - bestGenome
```
Genome bestGenome
```
      The best genome.
    - genomeFactory
```
GenomeFactory genomeFactory
```
      A factory that can be used to store create genomes.
    - populationSize
```
int populationSize
```
      How many genomes should be created.
    - rules
```
RuleHolder rules
```
      Holds rewrite and constraint rules.
Package org.encog.ml.ea.rules
- Class org.encog.ml.ea.rules.BasicRuleHolder extends java.lang.Object implements Serializable
  - Serialized Fields
    - rewriteRules
```
java.util.List<E> rewriteRules
```
      Rewrite rules that can simplify genomes.
    - constraintRules
```
java.util.List<E> constraintRules
```
      Rewrite rules that can simplify genomes.
Package org.encog.ml.ea.score
- Class org.encog.ml.ea.score.EmptyScoreFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.ml.ea.sort
- Class org.encog.ml.ea.sort.AbstractGenomeComparator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.ea.sort.MaximizeAdjustedScoreComp extends AbstractGenomeComparator implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.ea.sort.MaximizeScoreComp extends AbstractGenomeComparator implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.ea.sort.MinimizeAdjustedScoreComp extends AbstractGenomeComparator implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.ea.sort.MinimizeScoreComp extends AbstractGenomeComparator implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.ea.sort.SortGenomesForSpecies extends java.lang.Object implements Serializable
  - Serialized Fields
    - train
```
EvolutionaryAlgorithm train
```
      The trainer.
- Class org.encog.ml.ea.sort.SpeciesComparator extends java.lang.Object implements Serializable
  - Serialized Fields
    - training
```
EvolutionaryAlgorithm training
```
      The training method.
Package org.encog.ml.ea.species
- Class org.encog.ml.ea.species.BasicSpecies extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - age
```
int age
```
      The age of this species.
    - bestScore
```
double bestScore
```
      The best score.
    - gensNoImprovement
```
int gensNoImprovement
```
      The number of generations with no improvement.
    - leader
```
Genome leader
```
      The leader.
    - members
```
java.util.List<E> members
```
      The list of genomes.
    - population
```
Population population
```
      The owner class.
- Class org.encog.ml.ea.species.ThresholdSpeciation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - owner
```
EvolutionaryAlgorithm owner
```
      The training being used.
    - compatibilityThreshold
```
double compatibilityThreshold
```
      The minimum compatibility that two genes must have to be in the same species.
    - numGensAllowedNoImprovement
```
int numGensAllowedNoImprovement
```
      The maximum number of generations allows with no improvement. After this the genomes in this species are not allowed to reproduce or continue. This does not apply to top species.
    - maxNumberOfSpecies
```
int maxNumberOfSpecies
```
      The maximum number of species. This is just a target. If the number of species goes over this number then the compatibilityThreshold is increased to decrease the number of species.
    - sortGenomes
```
SortGenomesForSpecies sortGenomes
```
      The method used to sort the genomes in the species. More desirable genomes should come first for later selection.
    - population
```
Population population
```
      The population.
Package org.encog.ml.ea.train.basic
- Class org.encog.ml.ea.train.basic.BasicEA extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ignoreExceptions
```
boolean ignoreExceptions
```
      Should exceptions be ignored.
    - bestComparator
```
GenomeComparator bestComparator
```
      The genome comparator.
    - selectionComparator
```
GenomeComparator selectionComparator
```
      The genome comparator.
    - population
```
Population population
```
      The population.
    - scoreFunction
```
CalculateScore scoreFunction
```
      The score calculation function.
    - selection
```
SelectionOperator selection
```
      The selection operator.
    - adjusters
```
java.util.List<E> adjusters
```
      The score adjusters.
    - operators
```
OperationList operators
```
      The operators. to use.
    - codec
```
GeneticCODEC codec
```
      The CODEC to use to convert between genome and phenome.
    - randomNumberFactory
```
RandomFactory randomNumberFactory
```
      Random number factory.
    - validationMode
```
boolean validationMode
```
      The validation mode.
    - iteration
```
int iteration
```
      The iteration number.
    - threadCount
```
int threadCount
```
      The desired thread count.
    - speciation
```
Speciation speciation
```
      The speciation method.
    - reportedError
```
java.lang.Throwable reportedError
```
      This property stores any error that might be reported by a thread.
    - oldBestGenome
```
Genome oldBestGenome
```
      The best genome from the last iteration.
    - newPopulation
```
java.util.List<E> newPopulation
```
      The population for the next iteration.
    - champMutation
```
EvolutionaryOperator champMutation
```
      The mutation to be used on the top genome. We want to only modify its weights.
    - eliteRate
```
double eliteRate
```
      The percentage of a species that is "elite" and is passed on directly.
    - maxTries
```
int maxTries
```
      The number of times to try certian operations, so an endless loop does not occur.
    - bestGenome
```
Genome bestGenome
```
      The best ever genome.
    - threadList
```
java.util.List<E> threadList
```
      Holds the threads used each iteration.
    - maxOperationErrors
```
int maxOperationErrors
```
- Class org.encog.ml.ea.train.basic.EAWorker extends java.lang.Object implements Serializable
  - Serialized Fields
    - species
```
Species species
```
      The species being processed.
    - parents
```
Genome[] parents
```
      The parent genomes.
    - children
```
Genome[] children
```
      The children genomes.
    - rnd
```
java.util.Random rnd
```
      Random number generator.
    - train
```
BasicEA train
```
      The parent object.
- Class org.encog.ml.ea.train.basic.TrainEA extends BasicEA implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - strategies
```
java.util.List<E> strategies
```
      The training strategies to use.
Package org.encog.ml.fitness
- Class org.encog.ml.fitness.FitnessObjective extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weight
```
double weight
```
      The weight.
    - score
```
CalculateScore score
```
      The score function.
- Class org.encog.ml.fitness.MultiObjectiveFitness extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - objectives
```
java.util.List<E> objectives
```
      The objectives.
    - min
```
boolean min
```
      Is the goal to minimize the score?
Package org.encog.ml.genetic
- Class org.encog.ml.genetic.GeneticError extends EncogError implements Serializable
  
  serialVersionUID:
  
  -5557732297908150500L
- Class org.encog.ml.genetic.MLEncodableCODEC extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.genetic.MLMethodGeneticAlgorithm.MLMethodGeneticAlgorithmHelper extends TrainEA implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.genetic.MLMethodGenome extends DoubleArrayGenome implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - phenotype
```
MLEncodable phenotype
```
      The phenome.
Package org.encog.ml.genetic.genome
- Class org.encog.ml.genetic.genome.DoubleArrayGenome extends BasicGenome implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - data
```
double[] data
```
      The data.
- Class org.encog.ml.genetic.genome.IntegerArrayGenome extends BasicGenome implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - data
```
int[] data
```
      The genome data.
Package org.encog.ml.hmm
- Class org.encog.ml.hmm.HiddenMarkovModel extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - pi
```
double[] pi
```
      The initial probabilities for each state.
    - transitionProbability
```
double[][] transitionProbability
```
      The transitional probabilities between the states.
    - stateDistributions
```
StateDistribution[] stateDistributions
```
      The mapping of observation probabilities to the states.
    - items
```
int[] items
```
      The counts for each item in a discrete HMM.
Package org.encog.ml.hmm.distributions
- Class org.encog.ml.hmm.distributions.ContinousDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dimension
```
int dimension
```
      The dimensions.
    - mean
```
double[] mean
```
      The means for each dimension.
    - covariance
```
Matrix covariance
```
      The covariance matrix.
    - covarianceL
```
Matrix covarianceL
```
      The covariance left side.
    - covarianceInv
```
Matrix covarianceInv
```
      The covariance inverse.
    - covarianceDet
```
double covarianceDet
```
      The covariance determinant.
    - cd
```
CholeskyDecomposition cd
```
      Used to perform a decomposition.
- Class org.encog.ml.hmm.distributions.DiscreteDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - probabilities
```
double[][] probabilities
```
      The probabilities of moving between states.
Package org.encog.ml.prg
- Class org.encog.ml.prg.EncogProgram extends BasicGenome implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - variables
```
EncogProgramVariables variables
```
      The variables that will be used by this Encog program.
    - context
```
EncogProgramContext context
```
      The context that this Encog program executes in, the context is typically shared with other Encog programs.
    - rootNode
```
ProgramNode rootNode
```
      The root node of the program.
    - extraData
```
java.util.Map<K,V> extraData
```
      Holds extra data that might be needed by user extended opcodes.
- Class org.encog.ml.prg.EncogProgramContext extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - format
```
CSVFormat format
```
      The number formatting used. Namely, what type of radix point should strings be parsed/rendered to.
    - functions
```
FunctionFactory functions
```
      The functions, or opcodes, that are available to the program. This defines the set of functions and operators that a program might use. For an Encog Program all operators are treated as functions internally. A operator is essentially a shortcut notation for common functions.
    - definedVariables
```
java.util.List<E> definedVariables
```
      The defined variables. These variables are constant for the run of the program, but typically change for each run. They are essentially the variables that make up an algebraic expression.
    - map
```
java.util.Map<K,V> map
```
      Lookup map for the defined variables.
    - result
```
VariableMapping result
```
      The return value mapping for the programs.
- Class org.encog.ml.prg.EncogProgramVariables extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - varMap
```
java.util.Map<K,V> varMap
```
      A map to the index values of each variable name.
    - variables
```
java.util.List<E> variables
```
      The values of each variable. The order lines up to the order defined in the context.
- Class org.encog.ml.prg.ProgramNode extends BasicTreeNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - template
```
ProgramExtensionTemplate template
```
      The opcode that this node implements.
    - owner
```
EncogProgram owner
```
      The Encog program that this node belongs to.
    - data
```
ExpressionValue[] data
```
      Any data associated with this node. For example, const nodes will store their value here.
- Class org.encog.ml.prg.VariableMapping extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - name
```
java.lang.String name
```
      The name of the variable.
    - variableType
```
ValueType variableType
```
      The variable type.
    - enumType
```
int enumType
```
      If this is an enum, what is the type.
    - enumValueCount
```
int enumValueCount
```
      The count for this given enum. If this is not an enum, then value is not used.
Package org.encog.ml.prg.expvalue
- Class org.encog.ml.prg.expvalue.DivisionByZeroError extends EARuntimeError implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.ml.prg.expvalue.ExpressionValue extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - stringValue
```
java.lang.String stringValue
```
      If the value is a string, this contains the value.
    - floatValue
```
double floatValue
```
      If the value is a float, this contains the value.
    - boolValue
```
boolean boolValue
```
      If the value is a boolean, this contains the value.
    - expressionType
```
ValueType expressionType
```
      The type of this expression.
    - intValue
```
long intValue
```
      If the value is an int, this contains the value.
    - enumType
```
int enumType
```
      If the value is an enum, this contains the value.
Package org.encog.ml.prg.extension
- Class org.encog.ml.prg.extension.BasicTemplate extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - name
```
java.lang.String name
```
      The name of this opcode.
    - varValue
```
boolean varValue
```
      True if this opcode has a variable value, other than variance of its child nodes.
    - dataSize
```
int dataSize
```
      The amount of data that is stored with this node.
    - nodeType
```
NodeType nodeType
```
      The node type.
    - precedence
```
int precedence
```
      The precedence.
    - signature
```
java.lang.String signature
```
      The opcode signature.
    - params
```
java.util.List<E> params
```
      The parameters.
    - returnValue
```
ParamTemplate returnValue
```
      The return value.
- Class org.encog.ml.prg.extension.ConstantPool extends java.lang.Object implements Serializable
  - Serialized Fields
    - pool
```
ExpressionValue[] pool
```
      The constant pool.
    - name
```
java.lang.String name
```
      The name of the constant.
    - returnValue
```
ParamTemplate returnValue
```
- Class org.encog.ml.prg.extension.FunctionFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - templateMap
```
java.util.Map<K,V> templateMap
```
      A map for quick lookup.
    - opcodes
```
java.util.List<E> opcodes
```
      The opcodes.
- Class org.encog.ml.prg.extension.ParamTemplate extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - possibleTypes
```
java.util.Set<E> possibleTypes
```
      Possible types for this parameter.
    - passThrough
```
boolean passThrough
```
      Is this a pass through argument. If so, then the return type of the parent opcode will depend on the actual type of this parameter.
Package org.encog.ml.prg.species
- Class org.encog.ml.prg.species.PrgSpeciation extends ThresholdSpeciation implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.ml.prg.train
- Class org.encog.ml.prg.train.PrgGenomeFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - context
```
EncogProgramContext context
```
      The context.
- Class org.encog.ml.prg.train.PrgPopulation extends BasicPopulation implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - context
```
EncogProgramContext context
```
      The context.
- Class org.encog.ml.prg.train.ZeroEvalScoreFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.ml.prg.train.rewrite
- Class org.encog.ml.prg.train.rewrite.RewriteAlgebraic extends java.lang.Object implements Serializable
  - Serialized Fields
    - rewritten
```
boolean rewritten
```
      Has the expression been rewritten.
    - validated
```
boolean validated
```
      Has this rewrite rule been validated? Are the required operators present?
- Class org.encog.ml.prg.train.rewrite.RewriteBoolean extends java.lang.Object implements Serializable
  - Serialized Fields
    - rewritten
```
boolean rewritten
```
      True, if the value has been rewritten.
- Class org.encog.ml.prg.train.rewrite.RewriteConstants extends java.lang.Object implements Serializable
  - Serialized Fields
    - rewritten
```
boolean rewritten
```
      True if the expression was rewritten.
Package org.encog.ml.svm
- Class org.encog.ml.svm.SVM extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - model
```
svm_model model
```
      The SVM model to use.
    - params
```
svm_parameter params
```
      The params for the model.
    - inputCount
```
int inputCount
```
      The input count.
Package org.encog.ml.tree.basic
- Class org.encog.ml.tree.basic.BasicTreeNode extends java.lang.Object implements Serializable
  - Serialized Fields
    - childNodes
```
java.util.List<E> childNodes
```
Package org.encog.ml.world
- Class org.encog.ml.world.WorldError extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  -5909341149180956178L
Package org.encog.neural
- Class org.encog.neural.NeuralNetworkError extends EncogError implements Serializable
  
  serialVersionUID:
  
  7167228729133120101L
Package org.encog.neural.art
- Class org.encog.neural.art.ART extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.neural.art.ART1 extends ART implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - winner
```
int winner
```
      last winner in F2 layer.
    - a1
```
double a1
```
      A parameter for F1 layer.
    - b1
```
double b1
```
      B parameter for F1 layer.
    - c1
```
double c1
```
      C parameter for F1 layer.
    - d1
```
double d1
```
      D parameter for F1 layer.
    - l
```
double l
```
      L parameter for net.
    - vigilance
```
double vigilance
```
      The vigilance parameter.
    - noWinner
```
int noWinner
```
      This is the value that is returned if there is no winner. This value is generally set to the number of classes, plus 1.
    - outputF1
```
BiPolarNeuralData outputF1
```
      The output from the F1 layer.
    - outputF2
```
BiPolarNeuralData outputF2
```
      The output from the F2 layer.
    - f1Count
```
int f1Count
```
      The F1 layer neuron count.
    - f2Count
```
int f2Count
```
      The F2 layer neuron count.
    - weightsF1toF2
```
Matrix weightsF1toF2
```
      Weights from f1 to f2.
    - weightsF2toF1
```
Matrix weightsF2toF1
```
      Weights from f2 to f1.
Package org.encog.neural.bam
- Class org.encog.neural.bam.BAM extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - f1Count
```
int f1Count
```
      Neurons in the F1 layer.
    - f2Count
```
int f2Count
```
      Neurons in the F2 layer.
    - weightsF1toF2
```
Matrix weightsF1toF2
```
      The weights between the F1 and F2 layers.
    - weightsF2toF1
```
Matrix weightsF2toF1
```
      The weights between the F1 and F2 layers.
Package org.encog.neural.cpn
- Class org.encog.neural.cpn.CPN extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - inputCount
```
int inputCount
```
      The number of neurons in the input layer.
    - instarCount
```
int instarCount
```
      The number of neurons in the instar, or hidden, layer.
    - outstarCount
```
int outstarCount
```
      The number of neurons in the outstar, or output, layer.
    - winnerCount
```
int winnerCount
```
      The number of winning neurons.
    - weightsInputToInstar
```
Matrix weightsInputToInstar
```
      The weights from the input to the instar layer.
    - weightsInstarToOutstar
```
Matrix weightsInstarToOutstar
```
      The weights from the instar to the outstar layer.
Package org.encog.neural.data.basic
- Class org.encog.neural.data.basic.BasicNeuralData extends BasicMLData implements Serializable
  
  serialVersionUID:
  
  1524371205985251772L
- Class org.encog.neural.data.basic.BasicNeuralDataPair extends BasicMLDataPair implements Serializable
  
  serialVersionUID:
  
  93850721522898707L
- Class org.encog.neural.data.basic.BasicNeuralDataSet extends BasicMLDataSet implements Serializable
  
  serialVersionUID:
  
  -8916242559498280598L
Package org.encog.neural.flat
- Class org.encog.neural.flat.FlatNetwork extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - inputCount
```
int inputCount
```
      The number of input neurons in this network.
    - layerCounts
```
int[] layerCounts
```
      The number of neurons in each of the layers.
    - layerDropoutRates
```
double[] layerDropoutRates
```
      The dropout rate for each layer.
    - layerContextCount
```
int[] layerContextCount
```
      The number of context neurons in each layer. These context neurons will feed the next layer.
    - layerFeedCounts
```
int[] layerFeedCounts
```
      The number of neurons in each layer that are actually fed by neurons in the previous layer. Bias neurons, as well as context neurons, are not fed from the previous layer.
    - layerIndex
```
int[] layerIndex
```
      An index to where each layer begins (based on the number of neurons in each layer).
    - layerOutput
```
double[] layerOutput
```
      The outputs from each of the neurons.
    - layerSums
```
double[] layerSums
```
      The sum of the layer, before the activation function is applied, producing the layerOutput.
    - outputCount
```
int outputCount
```
      The number of output neurons in this network.
    - weightIndex
```
int[] weightIndex
```
      The index to where the weights that are stored at for a given layer.
    - weights
```
double[] weights
```
      The weights for a neural network.
    - activationFunctions
```
ActivationFunction[] activationFunctions
```
      The activation types.
    - contextTargetOffset
```
int[] contextTargetOffset
```
      The context target for each layer. This is how the backwards connections are formed for the recurrent neural network. Each layer either has a zero, which means no context target, or a layer number that indicates the target layer.
    - contextTargetSize
```
int[] contextTargetSize
```
      The size of each of the context targets. If a layer's contextTargetOffset is zero, its contextTargetSize should also be zero. The contextTargetSize should always match the feed count of the targeted context layer.
    - biasActivation
```
double[] biasActivation
```
      The bias activation for each layer. This is usually either 1, for a bias, or zero for no bias.
    - beginTraining
```
int beginTraining
```
      The layer that training should begin on.
    - endTraining
```
int endTraining
```
      The layer that training should end on.
    - isLimited
```
boolean isLimited
```
      Does this network have some connections disabled.
    - connectionLimit
```
double connectionLimit
```
      The limit, under which, all a cconnection is not considered to exist.
    - hasContext
```
boolean hasContext
```
      True if the network has context.
- Class org.encog.neural.flat.FlatNetworkRBF extends FlatNetwork implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - rbf
```
RadialBasisFunction[] rbf
```
      The RBF's used.
Package org.encog.neural.freeform
- Class org.encog.neural.freeform.FreeformContextNeuron extends BasicFreeformNeuron implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - contextSource
```
FreeformNeuron contextSource
```
      The context source.
- Class org.encog.neural.freeform.FreeformNetwork extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - inputLayer
```
FreeformLayer inputLayer
```
      The input layer.
    - outputLayer
```
FreeformLayer outputLayer
```
      The output layer.
    - connectionFactory
```
FreeformConnectionFactory connectionFactory
```
      The connection factory.
    - layerFactory
```
FreeformLayerFactory layerFactory
```
      The layer factory.
    - neuronFactory
```
FreeformNeuronFactory neuronFactory
```
      The neuron factory.
    - summationFactory
```
InputSummationFactory summationFactory
```
      The input summation factory.
- Class org.encog.neural.freeform.FreeformNetworkError extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.neural.freeform.basic
- Class org.encog.neural.freeform.basic.BasicActivationSummation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - activationFunction
```
ActivationFunction activationFunction
```
      The activation function to use.
    - inputs
```
java.util.List<E> inputs
```
      The inputs.
    - sum
```
double sum
```
      THe pre-activation summation.
- Class org.encog.neural.freeform.basic.BasicActivationSummationFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.neural.freeform.basic.BasicFreeformConnection extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weight
```
double weight
```
      The connection weight.
    - source
```
FreeformNeuron source
```
      The source neuron.
    - target
```
FreeformNeuron target
```
      The target neuron.
    - recurrent
```
boolean recurrent
```
      Is this a recurrent link?
    - tempTraining
```
double[] tempTraining
```
      Temp training data.
- Class org.encog.neural.freeform.basic.BasicFreeformConnectionFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.neural.freeform.basic.BasicFreeformLayer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - neurons
```
java.util.List<E> neurons
```
      The neurons in this layer.
- Class org.encog.neural.freeform.basic.BasicFreeformLayerFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.neural.freeform.basic.BasicFreeformNeuron extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - inputSummation
```
InputSummation inputSummation
```
      The input summation.
    - outputConnections
```
java.util.List<E> outputConnections
```
      THe output connections.
    - activation
```
double activation
```
      The activation.
    - bias
```
boolean bias
```
      True if this neuron is a bias neuron.
    - tempTraining
```
double[] tempTraining
```
      Temp training values.
- Class org.encog.neural.freeform.basic.BasicFreeformNeuronFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.neural.freeform.training
- Class org.encog.neural.freeform.training.FreeformBackPropagation extends FreeformPropagationTraining implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learningRate
```
double learningRate
```
      The learning rate. The coefficient for how much of the gradient is applied to each weight.
    - momentum
```
double momentum
```
      The momentum. The coefficient for how much of the previous delta is applied to each weight. In theory, prevents local minima stall.
- Class org.encog.neural.freeform.training.FreeformPropagationTraining extends BasicTraining implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - network
```
FreeformNetwork network
```
      The network that we are training.
    - training
```
MLDataSet training
```
      The training set to use.
    - iterationCount
```
int iterationCount
```
      The number of iterations.
    - error
```
double error
```
      The error at the beginning of the last iteration.
    - visited
```
java.util.Set<E> visited
```
      The neurons that have been visited.
    - fixFlatSopt
```
boolean fixFlatSopt
```
      Are we fixing the flat spot problem? (default = true)
    - batchSize
```
int batchSize
```
      The batch size. Specify 1 for pure online training. Specify 0 for pure batch training (complete training set in one batch). Otherwise specify the batch size for batch training.
- Class org.encog.neural.freeform.training.FreeformResilientPropagation extends FreeformPropagationTraining implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxStep
```
double maxStep
```
      The max step.
Package org.encog.neural.hyperneat
- Class org.encog.neural.hyperneat.HyperNEATGenome extends NEATGenome implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.neural.hyperneat.substrate
- Class org.encog.neural.hyperneat.substrate.Substrate extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dimensions
```
int dimensions
```
      The dimensions of the network.
    - inputNodes
```
java.util.List<E> inputNodes
```
      The input nodes.
    - outputNodes
```
java.util.List<E> outputNodes
```
      The output nodes.
    - hiddenNodes
```
java.util.List<E> hiddenNodes
```
      The hidden nodes.
    - links
```
java.util.List<E> links
```
      The links between nodes.
    - currentNeuronNumber
```
int currentNeuronNumber
```
      The current neuron id.
    - activationCycles
```
int activationCycles
```
      The number of activation cycles.
- Class org.encog.neural.hyperneat.substrate.SubstrateLink extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - source
```
SubstrateNode source
```
      The source.
    - target
```
SubstrateNode target
```
      The target.
- Class org.encog.neural.hyperneat.substrate.SubstrateNode extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - id
```
int id
```
      The ID of this node.
    - location
```
double[] location
```
      The location of this node.
Package org.encog.neural.neat
- Class org.encog.neural.neat.FactorNEATGenome extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.neural.neat.NEATCODEC extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.neural.neat.NEATLink extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4117045705080951946L
  - Serialized Fields
    - fromNeuron
```
int fromNeuron
```
      The source neuron.
    - toNeuron
```
int toNeuron
```
      The target neuron.
    - weight
```
double weight
```
      The weight.
- Class org.encog.neural.neat.NEATNetwork extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3660295468309926508L
  - Serialized Fields
    - links
```
NEATLink[] links
```
      The neuron links.
    - activationFunctions
```
ActivationFunction[] activationFunctions
```
      The activation functions.
    - preActivation
```
double[] preActivation
```
      The pre-activation values, used to feed the neurons.
    - postActivation
```
double[] postActivation
```
      The post-activation values, used as the output from the neurons.
    - outputIndex
```
int outputIndex
```
      The index to the starting location of the output neurons.
    - inputCount
```
int inputCount
```
      The input count.
    - outputCount
```
int outputCount
```
      The output count.
    - activationCycles
```
int activationCycles
```
      The number of activation cycles to use.
    - hasRelaxed
```
boolean hasRelaxed
```
      True, if the network has relaxed and values no longer changing. Used when activationCycles is set to zero for auto.
    - relaxationThreshold
```
double relaxationThreshold
```
      The amount of change allowed before the network is considered to have relaxed.
- Class org.encog.neural.neat.NEATPopulation extends BasicPopulation implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - activationCycles
```
int activationCycles
```
      The number of activation cycles that the networks produced by this population will use.
    - geneIDGenerate
```
GenerateID geneIDGenerate
```
      Generate gene id's.
    - innovationIDGenerate
```
GenerateID innovationIDGenerate
```
      Generate innovation id's.
    - innovations
```
NEATInnovationList innovations
```
      A list of innovations, or null if this feature is not being used.
    - weightRange
```
double weightRange
```
      The weight range. Weights will be between -weight and +weight.
    - cachedBestGenome
```
Genome cachedBestGenome
```
      The best genome that we've currently decoded into the bestNetwork property. If this value changes to point to a new genome reference then the phenome will need to be recalculated.
    - bestNetwork
```
NEATNetwork bestNetwork
```
      The best network. If the population is used as an MLMethod, then this network will represent.
    - inputCount
```
int inputCount
```
      The number of input units. All members of the population must agree with this number.
    - outputCount
```
int outputCount
```
      The number of output units. All members of the population must agree with this number.
    - survivalRate
```
double survivalRate
```
      The survival rate.
    - substrate
```
Substrate substrate
```
      The substrate, if this is a hyperneat network.
    - activationFunctions
```
ChooseObject<T> activationFunctions
```
      The activation functions that we can choose from.
    - codec
```
GeneticCODEC codec
```
      The CODEC used to decode the NEAT genomes into networks. Different CODEC's are used for NEAT vs HyperNEAT.
    - initialConnectionDensity
```
double initialConnectionDensity
```
      The initial connection density for the initial random population of genomes.
    - randomNumberFactory
```
RandomFactory randomNumberFactory
```
      A factory to create random number generators.
Package org.encog.neural.neat.training
- Class org.encog.neural.neat.training.NEATBaseGene extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - id
```
long id
```
      ID of this gene, -1 for unassigned.
    - innovationId
```
long innovationId
```
      Innovation ID, -1 for unassigned.
- Class org.encog.neural.neat.training.NEATGenome extends BasicGenome implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - inputCount
```
int inputCount
```
      The number of inputs.
    - linksList
```
java.util.List<E> linksList
```
      The list that holds the links.
    - networkDepth
```
int networkDepth
```
      THe network depth.
    - neuronsList
```
java.util.List<E> neuronsList
```
      The list that holds the neurons.
    - outputCount
```
int outputCount
```
      The number of outputs.
- Class org.encog.neural.neat.training.NEATInnovation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - neuronID
```
long neuronID
```
      The neuron id.
    - innovationID
```
long innovationID
```
      The innovation id.
- Class org.encog.neural.neat.training.NEATInnovationList extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - population
```
NEATPopulation population
```
      The population.
    - list
```
java.util.Map<K,V> list
```
      The list of innovations.
- Class org.encog.neural.neat.training.NEATLinkGene extends NEATBaseGene implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - fromNeuronID
```
long fromNeuronID
```
      The from neuron id.
    - toNeuronID
```
long toNeuronID
```
      The to neuron id.
    - weight
```
double weight
```
      The weight of this link.
    - enabled
```
boolean enabled
```
      Is this gene enabled?
- Class org.encog.neural.neat.training.NEATNeuronGene extends NEATBaseGene implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - neuronType
```
NEATNeuronType neuronType
```
      The neuron type.
    - activationFunction
```
ActivationFunction activationFunction
```
      The activation function.
Package org.encog.neural.neat.training.opp
- Class org.encog.neural.neat.training.opp.NEATCrossover extends java.lang.Object implements Serializable
  - Serialized Fields
    - owner
```
EvolutionaryAlgorithm owner
```
      The owning object.
- Class org.encog.neural.neat.training.opp.NEATMutateAddLink extends NEATMutation implements Serializable
- Class org.encog.neural.neat.training.opp.NEATMutateAddNode extends NEATMutation implements Serializable
- Class org.encog.neural.neat.training.opp.NEATMutateRemoveLink extends NEATMutation implements Serializable
- Class org.encog.neural.neat.training.opp.NEATMutateWeights extends NEATMutation implements Serializable
  - Serialized Fields
    - linkSelection
```
SelectLinks linkSelection
```
      The method used to select the links to mutate.
    - weightMutation
```
MutateLinkWeight weightMutation
```
      The method used to mutate the selected links.
- Class org.encog.neural.neat.training.opp.NEATMutation extends java.lang.Object implements Serializable
  - Serialized Fields
    - owner
```
EvolutionaryAlgorithm owner
```
      The trainer that owns this class.
Package org.encog.neural.neat.training.opp.links
- Class org.encog.neural.neat.training.opp.links.MutatePerturbLinkWeight extends java.lang.Object implements Serializable
  - Serialized Fields
    - trainer
```
EvolutionaryAlgorithm trainer
```
      The trainer being used.
    - sigma
```
double sigma
```
      The sigma (standard deviation) of the Gaussian random numbers.
- Class org.encog.neural.neat.training.opp.links.MutateResetLinkWeight extends java.lang.Object implements Serializable
  - Serialized Fields
    - trainer
```
EvolutionaryAlgorithm trainer
```
      The trainer being used.
- Class org.encog.neural.neat.training.opp.links.SelectFixed extends java.lang.Object implements Serializable
  - Serialized Fields
    - linkCount
```
int linkCount
```
      The number of links to choose.
    - trainer
```
EvolutionaryAlgorithm trainer
```
      The trainer.
- Class org.encog.neural.neat.training.opp.links.SelectProportion extends java.lang.Object implements Serializable
  - Serialized Fields
    - proportion
```
double proportion
```
      The portion of the links to mutate. 0.0 for none, 1.0 for all.
    - trainer
```
EvolutionaryAlgorithm trainer
```
      The trainer.
Package org.encog.neural.neat.training.species
- Class org.encog.neural.neat.training.species.OriginalNEATSpeciation extends ThresholdSpeciation implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - constDisjoint
```
double constDisjoint
```
      The adjustment factor for disjoint genes.
    - constExcess
```
double constExcess
```
      The adjustment factor for excess genes.
    - constMatched
```
double constMatched
```
      The adjustment factor for matched genes.
Package org.encog.neural.networks
- Class org.encog.neural.networks.BasicNetwork extends BasicML implements Serializable
  
  serialVersionUID:
  
  -136440631687066461L
  - Serialized Fields
    - structure
```
NeuralStructure structure
```
      Holds the structure of the network. This keeps the network from having to constantly lookup layers and synapses.
Package org.encog.neural.networks.layers
- Class org.encog.neural.networks.layers.BasicLayer extends FlatLayer implements Serializable
  
  serialVersionUID:
  
  -5682296868750703898L
  - Serialized Fields
    - network
```
BasicNetwork network
```
      The network that this layer belongs to.
Package org.encog.neural.networks.structure
- Class org.encog.neural.networks.structure.NeuralStructure extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2929683885395737817L
  - Serialized Fields
    - layers
```
java.util.List<E> layers
```
      The layers in this neural network.
    - network
```
BasicNetwork network
```
      The neural network this class belongs to.
    - connectionLimit
```
double connectionLimit
```
      The limit, below which a connection is treated as zero.
    - connectionLimited
```
boolean connectionLimited
```
      Are connections limited?
    - flat
```
FlatNetwork flat
```
      The flattened form of the network.
Package org.encog.neural.networks.training
- Class org.encog.neural.networks.training.TrainingError extends NeuralNetworkError implements Serializable
  
  serialVersionUID:
  
  9138367057650889570L
- Class org.encog.neural.networks.training.TrainingSetScore extends java.lang.Object implements Serializable
  - Serialized Fields
    - training
```
MLDataSet training
```
      The training set.
Package org.encog.neural.networks.training.propagation
- Class org.encog.neural.networks.training.propagation.TrainingContinuation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3649790586015301015L
  - Serialized Fields
    - contents
```
java.util.Map<K,V> contents
```
      The contents of this object.
    - trainingType
```
java.lang.String trainingType
```
      Training type.
Package org.encog.neural.pattern
- Class org.encog.neural.pattern.PatternError extends NeuralNetworkError implements Serializable
  
  serialVersionUID:
  
  1828040493714503355L
Package org.encog.neural.pnn
- Class org.encog.neural.pnn.AbstractPNN extends BasicML implements Serializable
  - Serialized Fields
    - inputCount
```
int inputCount
```
      Input neuron count.
    - outputCount
```
int outputCount
```
      Output neuron count.
    - kernel
```
PNNKernelType kernel
```
      Kernel type.
    - outputMode
```
PNNOutputMode outputMode
```
      Output mode.
    - trained
```
boolean trained
```
      Is trained.
    - error
```
double error
```
      Network error. (MSE)
    - confusion
```
int[] confusion
```
      Confusion work area.
    - deriv
```
double[] deriv
```
      First derivative.
    - deriv2
```
double[] deriv2
```
      Second derivative.
    - exclude
```
int exclude
```
      Index of a sample to exclude.
    - separateClass
```
boolean separateClass
```
      True, if we are using separate sigmas for each class.
- Class org.encog.neural.pnn.BasicPNN extends AbstractPNN implements Serializable
  
  serialVersionUID:
  
  -7990707837655024635L
  - Serialized Fields
    - sigma
```
double[] sigma
```
      The sigma's specify the widths of each kernel used.
    - samples
```
BasicMLDataSet samples
```
      The training samples that form the memory of this network.
    - countPer
```
int[] countPer
```
      Used for classification, the number of cases in each class.
    - priors
```
double[] priors
```
      The prior probability weights.
Package org.encog.neural.rbf
- Class org.encog.neural.rbf.RBFNetwork extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - flat
```
FlatNetworkRBF flat
```
      The underlying flat network.
Package org.encog.neural.som
- Class org.encog.neural.som.SOM extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weights
```
Matrix weights
```
      The weights of the output neurons base on the input from the input neurons.
Package org.encog.neural.thermal
- Class org.encog.neural.thermal.BoltzmannMachine extends ThermalNetwork implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - temperature
```
double temperature
```
      The current temperature of the neural network. The higher the temperature, the more random the network will behave.
    - threshold
```
double[] threshold
```
      The thresholds.
    - annealCycles
```
int annealCycles
```
      The number of cycles to anneal for.
    - runCycles
```
int runCycles
```
      The number of cycles to run the network through before annealing.
- Class org.encog.neural.thermal.HopfieldNetwork extends ThermalNetwork implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.encog.neural.thermal.ThermalNetwork extends BasicML implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentState
```
BiPolarNeuralData currentState
```
      The current state of the thermal network.
    - weights
```
double[] weights
```
      The weights.
    - neuronCount
```
int neuronCount
```
      The neuron count.
Package org.encog.parse
- Class org.encog.parse.ParseError extends EncogError implements Serializable
  
  serialVersionUID:
  
  2610215232632261403L
Package org.encog.persist
- Class org.encog.persist.PersistError extends EncogError implements Serializable
  
  serialVersionUID:
  
  7380539044552943978L
Package org.encog.platformspecific.j2se
- Class org.encog.platformspecific.j2se.TrainingDialog extends javax.swing.JDialog implements Serializable
  
  serialVersionUID:
  
  -6847676575773420316L
  - Serialized Fields
    - labelError
```
javax.swing.JLabel labelError
```
      Holds the current error.
    - labelIterations
```
javax.swing.JLabel labelIterations
```
      Holds the iteration count.
    - labelTime
```
javax.swing.JLabel labelTime
```
      Holds the current total training time.
    - buttonStop
```
javax.swing.JButton buttonStop
```
      The stop button.
    - shouldStop
```
boolean shouldStop
```
      Set to true if the network should stop after the current iteration.
Package org.encog.platformspecific.j2se.data
- Class org.encog.platformspecific.j2se.data.SQLNeuralDataSet extends BasicMLDataSet implements Serializable
  
  serialVersionUID:
  
  1L
Package org.encog.platformspecific.j2se.data.image
- Class org.encog.platformspecific.j2se.data.image.ImageMLData extends BasicMLData implements Serializable
  
  serialVersionUID:
  
  -4645971270240180450L
  - Serialized Fields
    - image
```
java.awt.Image image
```
      The image associated with this class.
- Class org.encog.platformspecific.j2se.data.image.ImageMLDataSet extends BasicMLDataSet implements Serializable
  
  serialVersionUID:
  
  3368190842312829906L
  - Serialized Fields
    - downsampler
```
Downsample downsampler
```
      The downsampler to use.
    - height
```
int height
```
      The height to downsample to.
    - width
```
int width
```
      The width to downsample to.
    - findBounds
```
boolean findBounds
```
      Should the bounds be found and cropped.
    - hi
```
double hi
```
      The high value to normalize to.
    - lo
```
double lo
```
      The low value to normalize to.
Package org.encog.util.arrayutil
- Class org.encog.util.arrayutil.NormalizedField extends java.lang.Object implements Serializable
  - Serialized Fields
    - actualHigh
```
double actualHigh
```
      The actual high from the sample data.
    - actualLow
```
double actualLow
```
      The actual low from the sample data.
    - normalizedHigh
```
double normalizedHigh
```
      The desired normalized high.
    - normalizedLow
```
double normalizedLow
```
      The desired normalized low from the sample data.
    - action
```
NormalizationAction action
```
      The action that should be taken on this column.
    - name
```
java.lang.String name
```
      The name of this column.
    - classes
```
java.util.List<E> classes
```
      The list of classes.
    - eq
```
Equilateral eq
```
      If equilateral classification is used, this is the Equilateral object.
    - lookup
```
java.util.Map<K,V> lookup
```
      Allows the index of a field to be looked up.
Package org.encog.util.csv
- Class org.encog.util.csv.CSVError extends EncogError implements Serializable
  
  serialVersionUID:
  
  -6118582877885550843L
- Class org.encog.util.csv.CSVFormat extends java.lang.Object implements Serializable
  - Serialized Fields
    - decimal
```
char decimal
```
      The decimal character.
    - separator
```
char separator
```
      The separator character.
    - numberFormatter
```
java.text.NumberFormat numberFormatter
```
      The number formatter to use for this format.
Package org.encog.util.identity
- Class org.encog.util.identity.BasicGenerateID extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentID
```
long currentID
```
      The current ID to generate.
Package org.encog.util.normalize
- Class org.encog.util.normalize.DataNormalization extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4387885013771660300L
  - Serialized Fields
    - inputFields
```
java.util.List<E> inputFields
```
      The input fields.
    - outputFields
```
java.util.List<E> outputFields
```
      The output fields.
    - groups
```
java.util.Set<E> groups
```
      Output fields can be grouped together, if the value of one output field might affect all of the others. This collection holds a list of all of the output field groups.
    - segregators
```
java.util.List<E> segregators
```
      A list of the segregators.
    - storage
```
NormalizationStorage storage
```
      Where the final output from the normalization is sent.
    - recordCount
```
int recordCount
```
      The number of records that were found in the first pass.
    - currentIndex
```
int currentIndex
```
      The current record's index.
    - csvFormat
```
CSVFormat csvFormat
```
      The format to use for all CSV files.
    - lastReport
```
int lastReport
```
      How long has it been since the last report. This filters so that every single record does not produce a message.
- Class org.encog.util.normalize.NormalizationError extends EncogError implements Serializable
  
  serialVersionUID:
  
  1454192534753095149L
Package org.encog.util.normalize.input
- Class org.encog.util.normalize.input.BasicInputField extends java.lang.Object implements Serializable
  - Serialized Fields
    - min
```
double min
```
      The maximum value encountered so far for this field.
    - max
```
double max
```
      The minimum value encountered so far for this field.
    - currentValue
```
double currentValue
```
      The current value for this field, only used while normalizing.
    - usedForNetworkInput
```
boolean usedForNetworkInput
```
      True if this field is used to actually generate the input for the neural network.
- Class org.encog.util.normalize.input.InputFieldArray1D extends BasicInputField implements Serializable
  - Serialized Fields
    - array
```
double[] array
```
      A reference to the array.
- Class org.encog.util.normalize.input.InputFieldArray2D extends BasicInputField implements Serializable
  - Serialized Fields
    - array
```
double[][] array
```
      The 2D array to use.
    - index2
```
int index2
```
      The 2nd dimension index to read the field from.
- Class org.encog.util.normalize.input.InputFieldCSV extends BasicInputField implements Serializable
  - Serialized Fields
    - file
```
java.io.File file
```
      The file to read.
    - offset
```
int offset
```
      The CSV column represented by this field.
- Class org.encog.util.normalize.input.InputFieldCSVText extends InputFieldCSV implements Serializable
  - Serialized Fields
    - mappings
```
java.util.Map<K,V> mappings
```
      The mappings.
    - currentMapIndex
```
int currentMapIndex
```
      The current map index.
- Class org.encog.util.normalize.input.InputFieldEncogCollection extends BasicInputField implements Serializable
  - Serialized Fields
    - resourceName
```
java.lang.String resourceName
```
    - offset
```
int offset
```
- Class org.encog.util.normalize.input.InputFieldMLDataSet extends BasicInputField implements Serializable
  - Serialized Fields
    - data
```
NeuralDataSet data
```
      The data set.
    - offset
```
int offset
```
      The input or ideal index. This treats the input and ideal as one long array, concatenated together.
- Class org.encog.util.normalize.input.MLDataFieldHolder extends java.lang.Object implements Serializable
  - Serialized Fields
    - pair
```
MLDataPair pair
```
      A neural data pair.
    - iterator
```
java.util.Iterator<E> iterator
```
      An iterator.
    - field
```
InputFieldMLDataSet field
```
      A field.
Package org.encog.util.normalize.output
- Class org.encog.util.normalize.output.BasicOutputField extends java.lang.Object implements Serializable
  - Serialized Fields
    - ideal
```
boolean ideal
```
      Is this field part of the ideal data uses to train the neural network.
- Class org.encog.util.normalize.output.BasicOutputFieldGroup extends java.lang.Object implements Serializable
  - Serialized Fields
    - fields
```
java.util.Collection<E> fields
```
      The fields in this group.
- Class org.encog.util.normalize.output.OutputFieldDirect extends BasicOutputField implements Serializable
  - Serialized Fields
    - sourceField
```
InputField sourceField
```
      The source field.
- Class org.encog.util.normalize.output.OutputFieldGrouped extends BasicOutputField implements Serializable
  - Serialized Fields
    - group
```
OutputFieldGroup group
```
      The group that this field is a member of.
    - sourceField
```
InputField sourceField
```
      The source field, this is the input field that provides data for this output field.
- Class org.encog.util.normalize.output.OutputFieldRangeMapped extends BasicOutputField implements Serializable
  - Serialized Fields
    - field
```
InputField field
```
      The input field to scale.
    - low
```
double low
```
      The low value of the field.
    - high
```
double high
```
      The high value of the field.
Package org.encog.util.normalize.output.mapped
- Class org.encog.util.normalize.output.mapped.MappedRange extends java.lang.Object implements Serializable
  - Serialized Fields
    - low
```
double low
```
      The low value for the range.
    - high
```
double high
```
      The high value for the range.
    - value
```
double value
```
      The value that should be returned for this range.
- Class org.encog.util.normalize.output.mapped.OutputFieldEncode extends BasicOutputField implements Serializable
  - Serialized Fields
    - sourceField
```
InputField sourceField
```
      The source field.
    - catchAll
```
double catchAll
```
      The catch all value, if nothing matches, then use this value.
    - ranges
```
java.util.List<E> ranges
```
      The ranges.
Package org.encog.util.normalize.output.multiplicative
- Class org.encog.util.normalize.output.multiplicative.MultiplicativeGroup extends BasicOutputFieldGroup implements Serializable
  - Serialized Fields
    - length
```
double length
```
      The "length" of this field.
- Class org.encog.util.normalize.output.multiplicative.OutputFieldMultiplicative extends OutputFieldGrouped implements Serializable
Package org.encog.util.normalize.output.nominal
- Class org.encog.util.normalize.output.nominal.NominalItem extends java.lang.Object implements Serializable
  - Serialized Fields
    - low
```
double low
```
      The low value for the range.
    - high
```
double high
```
      The high value for the range.
    - inputField
```
InputField inputField
```
      The input field used to verify against the range.
- Class org.encog.util.normalize.output.nominal.OutputEquilateral extends BasicOutputField implements Serializable
  - Serialized Fields
    - items
```
java.util.List<E> items
```
      THe nominal items.
    - equilateral
```
Equilateral equilateral
```
      The current equilateral matrix.
    - currentValue
```
int currentValue
```
      The current value, which nominal item is selected.
    - high
```
double high
```
      The high value to map into.
    - low
```
double low
```
      THe low value to map into.
- Class org.encog.util.normalize.output.nominal.OutputOneOf extends BasicOutputField implements Serializable
  - Serialized Fields
    - items
```
java.util.List<E> items
```
      The nominal items to represent.
    - trueValue
```
double trueValue
```
      What is the true value, often just "1".
    - falseValue
```
double falseValue
```
      What is the true value, often just "0" or "-1".
Package org.encog.util.normalize.output.zaxis
- Class org.encog.util.normalize.output.zaxis.OutputFieldZAxis extends OutputFieldGrouped implements Serializable
- Class org.encog.util.normalize.output.zaxis.OutputFieldZAxisSynthetic extends OutputFieldGrouped implements Serializable
- Class org.encog.util.normalize.output.zaxis.ZAxisGroup extends BasicOutputFieldGroup implements Serializable
  - Serialized Fields
    - length
```
double length
```
      The calculated length.
    - multiplier
```
double multiplier
```
      The multiplier, which is the value that all other values will be multiplied to become normalized.
Package org.encog.util.normalize.segregate
- Class org.encog.util.normalize.segregate.IntegerBalanceSegregator extends java.lang.Object implements Serializable
  - Serialized Fields
    - normalization
```
DataNormalization normalization
```
      The normalization object to use.
    - target
```
InputField target
```
      The input field.
    - count
```
int count
```
      The count per each of the int values for the input field.
    - runningCounts
```
java.util.Map<K,V> runningCounts
```
      The running totals.
- Class org.encog.util.normalize.segregate.RangeSegregator extends java.lang.Object implements Serializable
  - Serialized Fields
    - sourceField
```
InputField sourceField
```
      The source field that this is based on.
    - include
```
boolean include
```
      If none of the ranges match, should this data be included.
    - ranges
```
java.util.Collection<E> ranges
```
      The ranges.
    - normalization
```
DataNormalization normalization
```
      The normalization object.
- Class org.encog.util.normalize.segregate.SegregationRange extends java.lang.Object implements Serializable
  - Serialized Fields
    - low
```
double low
```
      The low end of this range.
    - high
```
double high
```
      The high end of this range.
    - include
```
boolean include
```
      Should this range be included.
Package org.encog.util.normalize.segregate.index
- Class org.encog.util.normalize.segregate.index.IndexRangeSegregator extends IndexSegregator implements Serializable
  - Serialized Fields
    - startingIndex
```
int startingIndex
```
      The starting index.
    - endingIndex
```
int endingIndex
```
      The ending index.
- Class org.encog.util.normalize.segregate.index.IndexSampleSegregator extends IndexSegregator implements Serializable
  - Serialized Fields
    - startingIndex
```
int startingIndex
```
      The starting index (within a sample).
    - endingIndex
```
int endingIndex
```
      The ending index (within a sample).
    - sampleSize
```
int sampleSize
```
      The sample size.
- Class org.encog.util.normalize.segregate.index.IndexSegregator extends java.lang.Object implements Serializable
  - Serialized Fields
    - currentIndex
```
int currentIndex
```
      The current index. Updated rows are processed.
    - normalization
```
DataNormalization normalization
```
      THe normalization object this belongs to.
Package org.encog.util.normalize.target
- Class org.encog.util.normalize.target.NormalizationStorageArray1D extends java.lang.Object implements Serializable
  - Serialized Fields
    - array
```
double[] array
```
      The array to store to.
    - currentIndex
```
int currentIndex
```
      The current index.
- Class org.encog.util.normalize.target.NormalizationStorageArray2D extends java.lang.Object implements Serializable
  - Serialized Fields
    - array
```
double[][] array
```
      The array to output to.
    - currentIndex
```
int currentIndex
```
      The current data.
- Class org.encog.util.normalize.target.NormalizationStorageCSV extends java.lang.Object implements Serializable
  - Serialized Fields
    - outputFile
```
java.io.File outputFile
```
      The output file.
    - format
```
CSVFormat format
```
      The CSV format to use.
- Class org.encog.util.normalize.target.NormalizationStorageEncogCollection extends java.lang.Object implements Serializable
  - Serialized Fields
    - resourceName
```
java.lang.String resourceName
```
- Class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet extends java.lang.Object implements Serializable
  - Serialized Fields
    - inputCount
```
int inputCount
```
      The input count.
    - idealCount
```
int idealCount
```
      The ideal count.
    - dataset
```
MLDataSet dataset
```
      The data set to add to.
Package org.encog.util.obj
- Class org.encog.util.obj.ChooseObject extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - list
```
java.util.List<E> list
```
      The objects that we are choosing from.
    - chooser
```
RandomChoice chooser
```
      The random choose.
- Class org.encog.util.obj.ObjectHolder extends java.lang.Object implements Serializable
  - Serialized Fields
    - obj
```
java.lang.Object obj
```
      The object to hold.
    - probability
```
double probability
```
      The probability.

Serialized Form

Package org.encog

Class org.encog.EncogError extends java.lang.RuntimeException implements Serializable

Package org.encog.app.analyst

Class org.encog.app.analyst.AnalystError extends EncogError implements Serializable

Package org.encog.app.generate

Class org.encog.app.generate.AnalystCodeGenerationError extends AnalystError implements Serializable

Package org.encog.app.quant

Class org.encog.app.quant.QuantError extends EncogError implements Serializable

Package org.encog.app.quant.loader

Class org.encog.app.quant.loader.LoaderError extends QuantError implements Serializable

Package org.encog.bot

Class org.encog.bot.BotError extends EncogError implements Serializable

Package org.encog.bot.browse

Class org.encog.bot.browse.BrowseError extends BotError implements Serializable

Package org.encog.ca

Class org.encog.ca.CellularAutomataError extends EncogError implements Serializable

Package org.encog.ca.program.basic

Class org.encog.ca.program.basic.BasicProgram extends java.lang.Object implements Serializable

Serialized Fields

movements

Class org.encog.ca.program.basic.Movement extends java.lang.Object implements Serializable

Serialized Fields

rowMovement

columnmMovement

Package org.encog.ca.program.conway

Class org.encog.ca.program.conway.ConwayProgram extends BasicProgram implements Serializable

Serialized Fields

sourceUniverse

targetUniverse

Package org.encog.ca.program.elementary

Class org.encog.ca.program.elementary.ElementaryCA extends BasicProgram implements Serializable

Serialized Fields

output

currentRow

rule

sourceUniverse

targetUniverse

Package org.encog.ca.program.generic

Class org.encog.ca.program.generic.GenericCA extends BasicProgram implements Serializable

Serialized Fields

physics

stepTrans

finalTrans

sourceUniverse

targetUniverse

ruleCount

Class org.encog.ca.program.generic.Trans extends java.lang.Object implements Serializable

Serialized Fields

limit

add1

mult

add2

factory

Package org.encog.ca.universe.basic

Class org.encog.ca.universe.basic.BasicCellFactory extends java.lang.Object implements Serializable

Serialized Fields

size

min

max

elementCount

Class org.encog.ca.universe.basic.BasicContinuousCell extends java.lang.Object implements Serializable

Serialized Fields

data

min

max

Class org.encog.ca.universe.basic.BasicDiscreteCell extends java.lang.Object implements Serializable

Serialized Fields

data

elementCount

Class org.encog.ca.universe.basic.BasicUniverse extends BasicML implements Serializable

Serialized Fields

data

cellFactory

Package org.encog.engine.network.activation

Class org.encog.engine.network.activation.ActivationBiPolar extends java.lang.Object implements Serializable

Serialized Fields

params

Class org.encog.engine.network.activation.ActivationBipolarSteepenedSigmoid extends java.lang.Object implements Serializable

Class org.encog.engine.network.activation.ActivationClippedLinear extends java.lang.Object implements Serializable