GClasses::GAdamOptimizer Member List

This is the complete list of members for GClasses::GAdamOptimizer, including all inherited members.

batchesPerEpoch() const	GClasses::GNeuralNetOptimizer	inline
batchSize() const	GClasses::GNeuralNetOptimizer	inline
beta1() const	GClasses::GAdamOptimizer	inline
beta2() const	GClasses::GAdamOptimizer	inline
computeGradient(const GVec &feat, const GVec &lab) override	GClasses::GAdamOptimizer	virtual
context()	GClasses::GNeuralNetOptimizer
descendGradient(double learningRate) override	GClasses::GAdamOptimizer	virtual
epochs() const	GClasses::GNeuralNetOptimizer	inline
epsilon() const	GClasses::GAdamOptimizer	inline
GAdamOptimizer(GNeuralNet &model, GRand &rand, GObjective *error=NULL)	GClasses::GAdamOptimizer
GNeuralNetOptimizer(GNeuralNet &model, GRand &rand, GObjective *objective=NULL)	GClasses::GNeuralNetOptimizer
improvementThresh() const	GClasses::GNeuralNetOptimizer	inline
learningRate() const	GClasses::GNeuralNetOptimizer	inline
m_batchesPerEpoch	GClasses::GNeuralNetOptimizer	protected
m_batchSize	GClasses::GNeuralNetOptimizer	protected
m_epochs	GClasses::GNeuralNetOptimizer	protected
m_learningRate	GClasses::GNeuralNetOptimizer	protected
m_minImprovement	GClasses::GNeuralNetOptimizer	protected
m_model	GClasses::GNeuralNetOptimizer	protected
m_objective	GClasses::GNeuralNetOptimizer	protected
m_pContext	GClasses::GNeuralNetOptimizer	protected
m_rand	GClasses::GNeuralNetOptimizer	protected
m_windowSize	GClasses::GNeuralNetOptimizer	protected
model()	GClasses::GNeuralNetOptimizer	inline
objective()	GClasses::GNeuralNetOptimizer	inline
optimize(const GMatrix &features, const GMatrix &labels)	GClasses::GNeuralNetOptimizer
optimizeBatch(const GMatrix &features, const GMatrix &labels, size_t start, size_t batchSize)	GClasses::GNeuralNetOptimizer	virtual
optimizeBatch(const GMatrix &features, const GMatrix &labels, size_t start)	GClasses::GNeuralNetOptimizer
optimizeBatch(const GMatrix &features, const GMatrix &labels, GRandomIndexIterator &ii, size_t batchSize)	GClasses::GNeuralNetOptimizer	virtual
optimizeBatch(const GMatrix &features, const GMatrix &labels, GRandomIndexIterator &ii)	GClasses::GNeuralNetOptimizer
optimizeIncremental(const GVec &feat, const GVec &lab)	GClasses::GNeuralNetOptimizer	virtual
optimizeWithValidation(const GMatrix &features, const GMatrix &labels, const GMatrix &validationFeat, const GMatrix &validationLab)	GClasses::GNeuralNetOptimizer
optimizeWithValidation(const GMatrix &features, const GMatrix &labels, double validationPortion=0.35)	GClasses::GNeuralNetOptimizer
prepareForOptimizing() override	GClasses::GAdamOptimizer	virtual
rand()	GClasses::GNeuralNetOptimizer	inline
resetState()	GClasses::GNeuralNetOptimizer
setBatchesPerEpoch(size_t b)	GClasses::GNeuralNetOptimizer	inline
setBatchSize(size_t b)	GClasses::GNeuralNetOptimizer	inline
setBeta1(double b)	GClasses::GAdamOptimizer	inline
setBeta2(double b)	GClasses::GAdamOptimizer	inline
setEpochs(size_t e)	GClasses::GNeuralNetOptimizer	inline
setEpsilon(double e)	GClasses::GAdamOptimizer	inline
setImprovementThresh(double m)	GClasses::GNeuralNetOptimizer	inline
setLearningRate(double l)	GClasses::GNeuralNetOptimizer	inline
setObjective(GObjective *objective)	GClasses::GNeuralNetOptimizer	inline
setWindowSize(size_t w)	GClasses::GNeuralNetOptimizer	inline
sumLoss(const GMatrix &features, const GMatrix &labels)	GClasses::GNeuralNetOptimizer
windowSize() const	GClasses::GNeuralNetOptimizer	inline
~GNeuralNetOptimizer()	GClasses::GNeuralNetOptimizer	virtual