gpmp::ml Namespace Reference

Namespace for openGPMP Machine Learning. More...

Classes
class	Activation
	Activation Methods. More...
class	BayesClf
	Bayes Classifier Class based on assumptions of independence. More...
class	BayesBernoulli
class	BayesGauss
class	BayesMultiNom
class	AutoEncoder
	A simple implementation of a vanilla autoencoder. More...
class	SparseAutoEncoder
	SparseAutoEncoder class, a derived class from AutoEncoder. More...
class	DenoisingAutoEncoder
	DenoisingAutoEncoder class, a derived class from AutoEncoder. More...
class	ContractiveAutoEncoder
	ContractiveAutoEncoder class, a derived class from AutoEncoder. More...
class	MDLAutoEncoder
	MDLAutoEncoder Minimal Description Length class, a derived class from AutoEncoder. More...
class	ConcreteAutoEncoder
	ConcreteAutoEncoder class, a derived class from AutoEncoder. More...
class	VariationalAutoEncoder
	VariationalAutoEncoder class, a derived class from AutoEncoder. More...
class	RecurrentAutoEncoder
	RecurrentAutoEncoder class, a derived class from AutoEncoder. More...
class	FullAutoEncoder
	FullAutoEncoder class, a derived class from AutoEncoder. More...
class	Kfold
	Represents a k-fold cross-validation utility. More...
class	KNN
	Represents a K Nearest Neighbors (KNN) classifier. More...
class	KohonenNet
	Kohonen Neural Network Cluster Class. More...
class	LinearRegression
class	LogReg
	Represents a Logistic Regression classifier. More...
struct	neuron
struct	layer
class	PrimaryMLP
	Primary Multi-Layer Perceptron Class. More...
class	SecondaryMLP
	Secondary Multi-Layer Perceptron Class making use of the Linear Algebra module. More...
class	Regularize
class	Stats
class	SVC
	Support Vector Classifier (SVC) for binary classification using Stochastic Gradient Descent. More...
class	Trainers
	Training Algorithms. More...

Detailed Description

Namespace for openGPMP Machine Learning.