Uses of Interface
net.viktorc.detroid.framework.tuning.TunableEngine

Packages that use TunableEngine

Package	Description
net.viktorc.detroid.framework
net.viktorc.detroid.framework.engine
net.viktorc.detroid.framework.tuning

Uses of TunableEngine in net.viktorc.detroid.framework

Methods in net.viktorc.detroid.framework that return TunableEngine

Modifier and Type	Method and Description
default TunableEngine	EngineFactory.newTunableEngineInstance() Returns a new TunableEngine instance.

Uses of TunableEngine in net.viktorc.detroid.framework.engine

Classes in net.viktorc.detroid.framework.engine that implement TunableEngine

Modifier and Type	Class and Description
class	Detroid A UCI compatible, tunable chess engine that utilizes magic bitboards and most search heuristics and supports Polyglot opening books and Gaviota endgame tablebases.

Uses of TunableEngine in net.viktorc.detroid.framework.tuning

Methods in net.viktorc.detroid.framework.tuning with parameters of type TunableEngine

Modifier and Type	Method and Description
static void	DataSetUtils.filterUnbalancedPositions(String sourceEpdFile, String destinationEpdFile, short imbalance, TunableEngine engine) Copies all the lines from the source EPD file to the destination file except for the ones representing either too unbalanced or too balanced positions based on the engine to tune's evaluation function.

Constructors in net.viktorc.detroid.framework.tuning with parameters of type TunableEngine

Constructor and Description

TexelOptimizer(TunableEngine[] engines, long trainingBatchSize, int epochs, Double h, Double baseLearningRate, Double learningAnnealingRate, Double l1RegularizationCoeff, Double l2RegularizationCoeff, String epdFilePath, String gameResultOpCode, Long costCalculationBatchSize, Double k, Double testDataProportion, Logger logger) Constructs and returns a new instance according to the specified parameters.

Constructor parameters in net.viktorc.detroid.framework.tuning with type arguments of type TunableEngine

Constructor and Description

SelfPlayOptimizer(List<SelfPlayEngines<TunableEngine>> engines, Set<ParameterType> parameterTypes, int games, long timePerGame, long timeIncPerMove, double validationFactor, double[] initialProbabilityVector, int populationSize, Double learningRate, Double negativeLearningRate, Double mutationProbability, Double mutationShift, Integer generations, Logger logger) Constructs a new instance according to the specified parameters.