GAN< Model, InitializationRuleType, Noise, PolicyType > Member List

This is the complete list of members for GAN< Model, InitializationRuleType, Noise, PolicyType >, including all inherited members.

Discriminator() const	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Discriminator()	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Evaluate(const arma::mat &parameters, const size_t i, const size_t batchSize)	GAN< Model, InitializationRuleType, Noise, PolicyType >
Evaluate(const arma::mat &parameters, const size_t i, const size_t batchSize)	GAN< Model, InitializationRuleType, Noise, PolicyType >
Evaluate(const arma::mat &parameters, const size_t i, const size_t batchSize)	GAN< Model, InitializationRuleType, Noise, PolicyType >
EvaluateWithGradient(const arma::mat &parameters, const size_t i, GradType &gradient, const size_t batchSize)	GAN< Model, InitializationRuleType, Noise, PolicyType >
EvaluateWithGradient(const arma::mat &parameters, const size_t i, GradType &gradient, const size_t batchSize)	GAN< Model, InitializationRuleType, Noise, PolicyType >
EvaluateWithGradient(const arma::mat &parameters, const size_t i, GradType &gradient, const size_t batchSize)	GAN< Model, InitializationRuleType, Noise, PolicyType >
Forward(const arma::mat &input)	GAN< Model, InitializationRuleType, Noise, PolicyType >
GAN(Model generator, Model discriminator, InitializationRuleType &initializeRule, Noise &noiseFunction, const size_t noiseDim, const size_t batchSize, const size_t generatorUpdateStep, const size_t preTrainSize, const double multiplier, const double clippingParameter=0.01, const double lambda=10.0)	GAN< Model, InitializationRuleType, Noise, PolicyType >
GAN(const GAN &)	GAN< Model, InitializationRuleType, Noise, PolicyType >
GAN(GAN &&)	GAN< Model, InitializationRuleType, Noise, PolicyType >
Generator() const	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Generator()	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Gradient(const arma::mat &parameters, const size_t i, arma::mat &gradient, const size_t batchSize)	GAN< Model, InitializationRuleType, Noise, PolicyType >
Gradient(const arma::mat &parameters, const size_t i, arma::mat &gradient, const size_t batchSize)	GAN< Model, InitializationRuleType, Noise, PolicyType >
Gradient(const arma::mat &parameters, const size_t i, arma::mat &gradient, const size_t batchSize)	GAN< Model, InitializationRuleType, Noise, PolicyType >
NumFunctions() const	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Parameters() const	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Parameters()	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Predict(arma::mat input, arma::mat &output)	GAN< Model, InitializationRuleType, Noise, PolicyType >
Predictors() const	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Predictors()	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Reset()	GAN< Model, InitializationRuleType, Noise, PolicyType >
ResetData(arma::mat trainData)	GAN< Model, InitializationRuleType, Noise, PolicyType >
Responses() const	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
Responses()	GAN< Model, InitializationRuleType, Noise, PolicyType >	inline
serialize(Archive &ar, const uint32_t)	GAN< Model, InitializationRuleType, Noise, PolicyType >
Shuffle()	GAN< Model, InitializationRuleType, Noise, PolicyType >
Train(arma::mat trainData, OptimizerType &Optimizer, CallbackTypes &&... callbacks)	GAN< Model, InitializationRuleType, Noise, PolicyType >