Structure representing the hyperparameters for model training. More...

#include <CscNeuralNetwork.h>

Public Member Functions
	TrainingHyperparameters (CscInitializationWeightsStrategy initWeightStrategyInit, CscInitializationBiasStrategy initBiasStrategyInit, CscLossFunction lossFunctionInit, CscOptimizer optimizers, float learningRateInit, int nbDataPerMiniBatchInit, bool earlyStoppingInit, int patienceInit)

void	setInitializationWeightsStrategy (CscInitializationWeightsStrategy initWeightStrategyUpdate)

void	setInitializationBiasStrategy (CscInitializationBiasStrategy initBiasStrategyUpdate)

void	setLossFunction (CscLossFunction lossFunctionUpdate)

void	setOptimizer (CscOptimizer optimizerUpdate)

void	setLearningRate (float learningRateUpdate)

void	setRho (float rho)

void	setBeta1 (float beta1Update)

void	setBeta2 (float beta2Update)

void	setEpsilon (float epsilonUpdate)

void	setNbDataPerMiniBatch (int nbDataPerMiniBatchUpdate)

void	setEarlyStoppingActivation (bool earlyStoppingUpdate)

void	setPatience (int patienceUpdate)

const CscInitializationWeightsStrategy	getInitializationWeightsStrategy () const

const CscInitializationBiasStrategy	getInitializationBiasStrategy () const

const CscLossFunction	getLossFunction () const

const CscOptimizer	getOptimizer () const

const float	getLearningRate () const

const float	getRho () const

const float	getBeta1 () const

const float	getBeta2 () const

const float	getEpsilon () const

const int	getNbDataPerMiniBatch () const

const bool	getEarlyStoppingActivation () const

const int	getPatience () const

TrainingHyperparameters *	getDuplicata ()

Detailed Description

Structure representing the hyperparameters for model training.

This structure contains various hyperparameters used for training a model, including strategies for initializing weights and biases, the loss function, the optimizer, and several optimization parameters.

Constructor & Destructor Documentation

◆ TrainingHyperparameters()

conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::TrainingHyperparameters	(	CscInitializationWeightsStrategy	initWeightStrategyInit,
		CscInitializationBiasStrategy	initBiasStrategyInit,
		CscLossFunction	lossFunctionInit,
		CscOptimizer	optimizers,
		float	learningRateInit,
		int	nbDataPerMiniBatchInit,
		bool	earlyStoppingInit,
		int	patienceInit
	)

Member Function Documentation

◆ getBeta1()

const float conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getBeta1 ( ) const

◆ getBeta2()

const float conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getBeta2 ( ) const

◆ getDuplicata()

CscNeuralNetwork::TrainingHyperparameters * conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getDuplicata ( )

◆ getEarlyStoppingActivation()

const bool conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getEarlyStoppingActivation ( ) const

◆ getEpsilon()

const float conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getEpsilon ( ) const

◆ getInitializationBiasStrategy()

const CscInitializationBiasStrategy conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getInitializationBiasStrategy ( ) const

◆ getInitializationWeightsStrategy()

const CscInitializationWeightsStrategy conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getInitializationWeightsStrategy ( ) const

◆ getLearningRate()

const float conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getLearningRate ( ) const

◆ getLossFunction()

const CscLossFunction conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getLossFunction ( ) const

◆ getNbDataPerMiniBatch()

const int conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getNbDataPerMiniBatch ( ) const

◆ getOptimizer()

const CscOptimizer conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getOptimizer ( ) const

◆ getPatience()

const int conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getPatience ( ) const

◆ getRho()

const float conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::getRho ( ) const

◆ setBeta1()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setBeta1 ( float beta1Update )

◆ setBeta2()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setBeta2 ( float beta2Update )

◆ setEarlyStoppingActivation()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setEarlyStoppingActivation ( bool earlyStoppingUpdate )

◆ setEpsilon()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setEpsilon ( float epsilonUpdate )

◆ setInitializationBiasStrategy()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setInitializationBiasStrategy ( CscInitializationBiasStrategy initBiasStrategyUpdate )

◆ setInitializationWeightsStrategy()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setInitializationWeightsStrategy ( CscInitializationWeightsStrategy initWeightStrategyUpdate )

◆ setLearningRate()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setLearningRate ( float learningRateUpdate )

◆ setLossFunction()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setLossFunction ( CscLossFunction lossFunctionUpdate )

◆ setNbDataPerMiniBatch()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setNbDataPerMiniBatch ( int nbDataPerMiniBatchUpdate )

◆ setOptimizer()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setOptimizer ( CscOptimizer optimizerUpdate )

◆ setPatience()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setPatience ( int patienceUpdate )

◆ setRho()

void conscience_core::ai::nn::CscNeuralNetwork::TrainingHyperparameters::setRho ( float rho )

The documentation for this struct was generated from the following files:

ArtificialIntelligence/CscNeuralNetwork.h
ArtificialIntelligence/CscNeuralNetwork.cpp

Conscience Core

Public Member Functions