Data Types List

Here are the data types with brief descriptions:

[detail level 1234]

▼Ngpmp	The source C++ openGPMP namespace
►Naccl
CCUDAmtx	Features CUDA GPU acceleration methods related to matrix operations
CCLmtx	OpenCL GPU Matrix operations wrapper class
►Ncore
►Nrndm
CLCG	Linear Congruential Generator
CDataTable
CThreadPool
CThreadDispatch	A class that provides a function to dispatch a function call to a thread pool and return a future object for obtaining the result
CTypeCast
CLogger
CMisc	A class containing miscellaneous utility functions
►Nlinalg
CDGEMM	Class for performing matrix multiplication on double type arrays
CIGEMM	Class for performing matrix multiplication on int type arrays
CSGEMM	Class for performing matrix multiplication on float type arrays
CEigen	Class for computing eigenvalues of a matrix
CLinSys	Class for solving linear systems and performing matrix operations
CMtx	Mtx class offers matrix arithmetic operations. Some methods are element-wise while others make use of grouping and unrolling
CMatrix	Matrix and Scalar operations
Cmtx	Matrix struct
CSVD
CTensor	Represents a 3D tensor with basic operations
►Nml	Namespace for openGPMP Machine Learning
CActivation	Activation Methods
CBayesClf	Bayes Classifier Class based on assumptions of independence
CBayesBernoulli
CBayesGauss
CBayesMultiNom
CAutoEncoder	A simple implementation of a vanilla autoencoder
CSparseAutoEncoder	SparseAutoEncoder class, a derived class from AutoEncoder
CDenoisingAutoEncoder	DenoisingAutoEncoder class, a derived class from AutoEncoder
CContractiveAutoEncoder	ContractiveAutoEncoder class, a derived class from AutoEncoder
CMDLAutoEncoder	MDLAutoEncoder Minimal Description Length class, a derived class from AutoEncoder
CConcreteAutoEncoder	ConcreteAutoEncoder class, a derived class from AutoEncoder
CVariationalAutoEncoder	VariationalAutoEncoder class, a derived class from AutoEncoder
CRecurrentAutoEncoder	RecurrentAutoEncoder class, a derived class from AutoEncoder
CFullAutoEncoder	FullAutoEncoder class, a derived class from AutoEncoder
CKfold	Represents a k-fold cross-validation utility
CKNN	Represents a K Nearest Neighbors (KNN) classifier
CKohonenNet	Kohonen Neural Network Cluster Class
CLinearRegression
CLogReg	Represents a Logistic Regression classifier
Cneuron
Clayer
CPrimaryMLP	Primary Multi-Layer Perceptron Class
CSecondaryMLP	Secondary Multi-Layer Perceptron Class making use of the Linear Algebra module
CRegularize
CStats
CSVC	Support Vector Classifier (SVC) for binary classification using Stochastic Gradient Descent
CTrainers	Training Algorithms
►Nnt
CRC5	RC5 encryption and decryption class
CRedPike	Class for encryption and decryption using the RedPike algorithm
►Noptim
CFunc	A class containing various utility functions and optimization methods
CQuasiNewton	Class implementing Quasi-Newton optimization methods
►Nstats
CCDF	Class providing methods for computing cumulative distribution functions (CDFs)
CDescribe	A class providing methods for descriptive statistics
CHypothesisTest	A class for conducting various statistical hypothesis tests
CPDF	Class representing Probability Distribution Functions (PDFs)
CProbDist
CResampling	A class providing various resampling methods for statistical analysis
CArith	Arithmetic Basics
CBasics	Arithmetic Operations
CNumericalAnalysis
CTerm	Represents a term in a polynomial
CDifferential	Calculus Class with methods pertaining to basic operations
CComb	A class providing various combinatorial functions and algorithms
CGraph
CCipher
CEuclideanDivision
CFactorization
CGCDS
CLogarithms
CPrimalityGen
CPrimalityTest
CRC4
CSquares
▼Npygpmp	Python API for openGPMP
►Narithmetic
►Narithmetic
CBasics
►Ncalculus
►Ncalculus
CTerm
CDifferential
►Ncore
►Ncore
CDataTable
CTypeCast
CLogger
CMisc
►Nlinalg
►Nlinalg
CMtx
►Nml
►Nml
CLinearRegression
►Nnt
►Nnt
CBasics
CPrimalityTest
CPrimalityGen
CLogarithms
CFactorization
CRC4
CCipher
CBall
CBayesMutliNom
CBNN	Bayesian Neural Network class
CCamera
CCheckerboard
CEdge
CQuantile
CRC6	Class implementing the RC6 cipher algorithm