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I

INC - Static variable in class org.licas.ai_solver.util.SolverConst
 
incRollbackCount() - Method in class org.licas.ai_solver.spec.test.GridTestSpec
Increment the number of times the solutions have been rolled back.
infoServiceType - Variable in class org.licas.ai_solver.mediator.ProblemSolverMediator
The main type of service being run
initialise() - Method in class org.licas.ai_solver.learn.LearnWeights
Initialise some values.
initialiseData() - Method in class org.licas.ai_solver.central.grid.FrequencyGrid
Initialise the data for solving.
initialiseKnn(KnnConfig) - Method in class org.licas.ai_solver.central.KNN
Initialise the knn.
initialiseMediator(TestSpec, ProblemMediator) - Method in class org.licas.ai_solver.eval.Evaluator
Create or initialise the solution and problem values from the problem specification.
initialiseMediator(TestSpec, ProblemMediator) - Method in class org.licas.ai_solver.eval.GridEvaluator
Create or initialise the original problem and solution values.
initialiseMediator(TestSpec, ProblemMediator) - Method in class org.licas.ai_solver.eval.KnnEvaluator
Create or initialise the original problem and solution values.
initialiseMediator(TestSpec, ProblemMediator) - Method in class org.licas.ai_solver.eval.LinkEvaluator
Create or initialise the original problem and solution values.
initialiseMediator(TestSpec, ProblemMediator) - Method in class org.licas.ai_solver.eval.SearchEvaluator
Create or initialise the original problem and solution values.
initialiseMediator(TestSpec, ProblemMediator) - Method in class org.licas.ai_solver.eval.SomEvaluator
Create or initialise the original problem and solution values.
initialiseServerInfo(ProblemScript) - Method in class org.licas.ai_solver.mediator.ProblemSolverMediator
Initialise the solver mediator with the server details.
initialiseSom(SomConfig) - Method in class org.licas.ai_solver.central.SomNN
Initialise the SOM neural network.
insertColumn(int, double[]) - Method in class org.licas.ai_solver.central.grid.GeneticGrid
Insert the specified column into the grid at the specified position.
insertRow(int, double[]) - Method in class org.licas.ai_solver.central.grid.GeneticGrid
Insert the specified row into the grid at the specified position.
insideRange(Object) - Method in class org.licas.ai_solver.search.SearchFramework
If a similarity range has been specified, then measure if the value is inside of it.
intermediateBounds - Variable in class org.licas.ai_solver.mediator.problem.GridProblemMediator
Intermediate solution results
intersection(String, Object, Object) - Method in class org.licas.ai_solver.eval.EvaluateSolverData
Intersection of the object values.
intersection(BagOfWords, BagOfWords) - Method in class org.licas.ai_solver.eval.EvaluateSolverData
This is the intersection of the two structures.
intersection(MetaBagOfWords, MetaBagOfWords) - Method in class org.licas.ai_solver.eval.EvaluateSolverData
This is the intersection of the two structures.
isBagOfWords() - Method in class org.licas.ai_solver.model.genetic.genes.EvolveInfo
Return true if the gene type is a bag-of-words or related type.
isBetter(Object, Object) - Method in class org.licas.ai_solver.eval.Evaluator
Return true if the value is better than the best value.
isCentralised(String) - Method in class org.licas.ai_solver.DefaultHeuristicClassification
Return true if the framework type is a recognised centralised type.
isCentralised(String) - Method in class org.licas.ai_solver.HeuristicClassification
Return true if the framework type is a recognised centralised type.
isClusterType() - Method in class org.licas.ai_solver.model.result.Result
Return true if this result is the cluster references type, false otherwise.
isErrorType() - Method in class org.licas.ai_solver.model.result.Result
Return true if this result is the error type, false otherwise.
isHeuristic(String) - Method in class org.licas.ai_solver.DefaultHeuristicClassification
Return true if the heuristic type is a known type.
isHeuristic(String) - Method in class org.licas.ai_solver.HeuristicClassification
Return true if the heuristic type is a known type.
isMatchType() - Method in class org.licas.ai_solver.model.result.Result
Return true if this result is the matching solutions type, false otherwise.
isSimpleType() - Method in class org.licas.ai_solver.model.genetic.genes.EvolveInfo
Return true if the gene type is a simple type.
isValueType() - Method in class org.licas.ai_solver.model.result.Result
Return true if this result is a base type storing an EvalBounds value only, false otherwise.
isWTA(String) - Static method in class org.licas.ai_solver.central.SomConst
Return true if the function type is a WTA one, false if a WTM one.
IterateMediatorCentral - Class in org.licas.ai_solver.mediator.problem
This is the abstract base class for modelling a solver that iterates over more than one test runs, as part of a centralised problem solver.
IterateMediatorCentral(PasswordHandler) - Constructor for class org.licas.ai_solver.mediator.problem.IterateMediatorCentral
Create a new instance of IterateProblemMediator.
IterateMediatorDef - Interface in org.licas.ai_solver.def
Additional interface classes for a solver that iterates and changes solutions as part of each iteration, such as a genetic mediator.
IterateMediatorEvolve - Class in org.licas.ai_solver.mediator.problem
This is the abstract base class for modelling a solver that evolves new solutions.
IterateMediatorEvolve(PasswordHandler) - Constructor for class org.licas.ai_solver.mediator.problem.IterateMediatorEvolve
Create a new instance of IterateProblemMediator.
iterations - Variable in class org.licas.ai_solver.central.KnnConfig
Maximum number of training iterations
iterations - Variable in class org.licas.ai_solver.central.SomConfig
Maximum number of training iterations
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