- FactoryInfo - Class in org.ai_heuristic.model
-
This stores information for a service interface class.
- FactoryInfo() - Constructor for class org.ai_heuristic.model.FactoryInfo
-
Create a new instance of FactoryInfo
- falseCondition() - Static method in class org.ai_heuristic.eval.Condition
-
Get a boolean 'false' condition.
- filePath - Variable in class org.ai_heuristic.model.FactoryInfo
-
List of full paths for the jar files that contain the class.
- filePrefix(String) - Static method in class org.ai_heuristic.util.TextConst
-
Return true if the file path contains a valid colon in the prefix.
- FILEURI - Static variable in class org.ai_heuristic.util.TextConst
-
Defines a file prefix
- FIRSTLETTER - Static variable in class org.ai_heuristic.util.SymbolHandler
-
- FIRSTNUMBER - Static variable in class org.ai_heuristic.util.SymbolHandler
-
- FIRSTSPACE - Static variable in class org.ai_heuristic.util.SymbolHandler
-
- FIRSTTAB - Static variable in class org.ai_heuristic.util.SymbolHandler
-
- FLOAT - Static variable in class org.ai_heuristic.util.AiTypeConst
-
Float class type
- FLOATOBJ - Static variable in class org.ai_heuristic.util.AiTypeConst
-
Float object class type
- FractionNeighbourhoodFunction - Class in org.ai_heuristic.algo.cluster.som.neighbourhood
-
New fraction function that reduces the influence to a fraction, depending on the
neighbourhood distance from the best neuron.
- FractionNeighbourhoodFunction() - Constructor for class org.ai_heuristic.algo.cluster.som.neighbourhood.FractionNeighbourhoodFunction
-
Creates a new instance of FractionNeighbourhoodFunction with
specified radius
- FS - Static variable in class org.ai_heuristic.util.SymbolHandler
-
- Function - Class in org.ai_heuristic.functs
-
This is the base class for adding a function of any type.
- Function() - Constructor for class org.ai_heuristic.functs.Function
-
Create a new instance of Function.
- Function(String) - Constructor for class org.ai_heuristic.functs.Function
-
Create a new instance of Function.
- Function(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.Function
-
Create a new instance of Function.
- FUNCTION - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionActivate - Class in org.ai_heuristic.functs
-
This is the base class for any of the activation functions that measure a value
against a threshold.
- FunctionActivate() - Constructor for class org.ai_heuristic.functs.FunctionActivate
-
Create a new instance of FunctionActivate.
- FunctionActivate(String) - Constructor for class org.ai_heuristic.functs.FunctionActivate
-
Create a new instance of FunctionActivate.
- FunctionActivate(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.FunctionActivate
-
Create a new instance of FunctionActivate.
- functionalModel - Variable in class org.ai_heuristic.algo.cluster.som.kohonen.WTMLearningFunction
-
Reference to function model
- FUNCTIONCONSTANT - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionConstantFactor - Class in org.ai_heuristic.functs.learn
-
This function simply returns the constant value as a Double object, without any changes.
- FunctionConstantFactor() - Constructor for class org.ai_heuristic.functs.learn.FunctionConstantFactor
-
Create a new instance of FunctionConstantFactor.
- FunctionConstantFactor(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.learn.FunctionConstantFactor
-
Create a new instance of FunctionConstantFactor.
- FunctionCount - Class in org.ai_heuristic.functs.learn
-
This function simply adds two objects together and returns the result.
- FunctionCount() - Constructor for class org.ai_heuristic.functs.learn.FunctionCount
-
Create a new instance of FunctionCount.
- FunctionCount(String) - Constructor for class org.ai_heuristic.functs.learn.FunctionCount
-
Create a new instance of FunctionCount.
- FUNCTIONCOUNT - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionDef - Interface in org.ai_heuristic.def
-
This defines the evaluation operations, maybe for a single data object.
- FUNCTIONEXPONENTIAL - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionExponentialFactor - Class in org.ai_heuristic.functs.learn
-
This function returns the first value in the dataset, changed by n * exp(-c * val1).
- FunctionExponentialFactor() - Constructor for class org.ai_heuristic.functs.learn.FunctionExponentialFactor
-
Create a new instance of FunctionExponentialFactor.
- FunctionExponentialFactor(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.learn.FunctionExponentialFactor
-
Create a new instance of FunctionExponentialFactor.
- FUNCTIONGAUSS - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionGaussFactor - Class in org.ai_heuristic.functs.learn
-
This function returns the first value in the dataset, changed by exp(-(k^2))/(2*r^2)).
- FunctionGaussFactor() - Constructor for class org.ai_heuristic.functs.learn.FunctionGaussFactor
-
Create a new instance of FunctionGaussFactor.
- FunctionGaussFactor(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.learn.FunctionGaussFactor
-
Create a new instance of FunctionGaussFactor.
- FunctionHardLimit - Class in org.ai_heuristic.functs.activate
-
This function returns 1.0 of the value is larger than a threshold and 0.0
otherwise.
- FunctionHardLimit() - Constructor for class org.ai_heuristic.functs.activate.FunctionHardLimit
-
Create a new instance of FunctionHardLimit.
- FunctionHardLimit(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.activate.FunctionHardLimit
-
Create a new instance of FunctionHardLimit.
- FUNCTIONHARDLIMIT - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FUNCTIONHYPERBOLIC - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionHyperbolicFactor - Class in org.ai_heuristic.functs.learn
-
This function returns the first value in the dataset, changed by c /(c2 + k).
- FunctionHyperbolicFactor() - Constructor for class org.ai_heuristic.functs.learn.FunctionHyperbolicFactor
-
Create a new instance of FunctionHyperbolicFactor.
- FunctionHyperbolicFactor(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.learn.FunctionHyperbolicFactor
-
Create a new instance of FunctionHyperbolicFactor.
- FunctionLearn - Class in org.ai_heuristic.functs
-
This is the base class for any of the evaluation metrics or functions that try to
learn a best value over time.
- FunctionLearn() - Constructor for class org.ai_heuristic.functs.FunctionLearn
-
Create a new instance of FunctionLearn.
- FunctionLearn(String) - Constructor for class org.ai_heuristic.functs.FunctionLearn
-
Create a new instance of FunctionLearn.
- FunctionLearn(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.FunctionLearn
-
Create a new instance of FunctionLearn.
- FunctionLinear - Class in org.ai_heuristic.functs.activate
-
This function simply returns the first value in the dataset, as is, without any changes.
- FunctionLinear() - Constructor for class org.ai_heuristic.functs.activate.FunctionLinear
-
Create a new instance of FunctionLinear.
- FunctionLinear(String) - Constructor for class org.ai_heuristic.functs.activate.FunctionLinear
-
Create a new instance of FunctionLinear.
- FUNCTIONLINEAR - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionLinearPlus - Class in org.ai_heuristic.functs.activate
-
This function returns a linear value calculated by y = (a * x) + b, where a
and b are parameters of type double.
- FunctionLinearPlus() - Constructor for class org.ai_heuristic.functs.activate.FunctionLinearPlus
-
Create a new instance of FunctionLinearPlus.
- FunctionLinearPlus(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.activate.FunctionLinearPlus
-
Create a new instance of FunctionLinearPlus.
- FUNCTIONLINEARPLUS - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionLinearRectified - Class in org.ai_heuristic.functs.activate
-
This function simply returns the same first positive value in the dataset, as is,
without any changes, or 0 if it is negative.
- FunctionLinearRectified() - Constructor for class org.ai_heuristic.functs.activate.FunctionLinearRectified
-
Create a new instance of FunctionLinearRectified.
- FunctionLinearRectified(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.activate.FunctionLinearRectified
-
Create a new instance of FunctionLinearRectified.
- FUNCTIONLINEARRECTIFIED - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionMetric - Class in org.ai_heuristic.functs
-
This is the base class for any of the evaluation metrics or functions that compare
two datasets and use the
MetricCompare objects only.
- FunctionMetric() - Constructor for class org.ai_heuristic.functs.FunctionMetric
-
Create a new instance of FunctionMetric.
- FunctionMetric(String) - Constructor for class org.ai_heuristic.functs.FunctionMetric
-
Create a new instance of FunctionMetric.
- FunctionMetric(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.FunctionMetric
-
Create a new instance of FunctionMetric.
- FunctionMetricDef - Interface in org.ai_heuristic.def
-
This defines the evaluation operations, maybe for a single data object.
- FunctionSigmoid - Class in org.ai_heuristic.functs.activate
-
This function returns the sigmoid value as defined by (1 / (1 + e^-x)) where x is
the input value and probably of type double.
- FunctionSigmoid() - Constructor for class org.ai_heuristic.functs.activate.FunctionSigmoid
-
Create a new instance of FunctionSigmoid.
- FunctionSigmoid(String) - Constructor for class org.ai_heuristic.functs.activate.FunctionSigmoid
-
Create a new instance of FunctionSigmoid.
- FUNCTIONSIGMOID - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionSingle - Class in org.ai_heuristic.functs
-
This is the base class for any of the evaluation metrics or functions that try to
perform an evaluation over a sigle
MetricDataset dataset only.
- FunctionSingle() - Constructor for class org.ai_heuristic.functs.FunctionSingle
-
Create a new instance of FunctionSingle.
- FunctionSingle(String) - Constructor for class org.ai_heuristic.functs.FunctionSingle
-
Create a new instance of FunctionSingle.
- FunctionSingle(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.FunctionSingle
-
Create a new instance of FunctionSingle.
- FunctionSingleDef - Interface in org.ai_heuristic.def
-
This defines the evaluation operations, maybe for a single data object.
- FunctionSymmetricHardLimit - Class in org.ai_heuristic.functs.activate
-
This function returns 1.0 of the value is larger than a threshold and -1.0
otherwise.
- FunctionSymmetricHardLimit() - Constructor for class org.ai_heuristic.functs.activate.FunctionSymmetricHardLimit
-
Create a new instance of FunctionSymmetricHardLimit.
- FunctionSymmetricHardLimit(String, HashMap<String, ?>) - Constructor for class org.ai_heuristic.functs.activate.FunctionSymmetricHardLimit
-
Create a new instance of FunctionSymmetricHardLimit.
- FUNCTIONSYMMETRICHARDLIMIT - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- FunctionTanH - Class in org.ai_heuristic.functs.activate
-
This function returns the tanh value as defined by ((e^2x - 1) / (e^2x + 1)) where
x is the input value and probably of type double.
- FunctionTanH() - Constructor for class org.ai_heuristic.functs.activate.FunctionTanH
-
Create a new instance of FunctionTanH.
- FunctionTanH(String) - Constructor for class org.ai_heuristic.functs.activate.FunctionTanH
-
Create a new instance of FunctionTanH.
- FUNCTIONTANH - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-