Inheritance

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 123]

OpenANN::ActionSpace	Represents the action space in a reinforcement learning problem
OpenANN::Environment	A reinforcement learning environment
DoublePoleBalancing	In this environment the agent has to control a cart such that the two poles mounted at the top of the cart do not pass a defined angle threshold
SinglePoleBalancing	In this environment the agent has to control a cart such that the pole mounted at the top of the cart does not pass a defined angle threshold
net.Activation
metalearning.AdaBoost
OpenANN::Agent	A (learning) agent in a reinforcement learning problem
NeuroEvolutionAgent
OpenANN::RandomAgent	Choses actions randomly
OpenANN::TriangleConstraint::AngleTuple
metalearning.Bagging
BCIDataSet::BCIDataCache
CIFARLoader	Loads the CIFAR-10 dataset
CMAES< T >
CMAES< double >
OpenANN::CompressionMatrixFactory	Creates several types of matrices for compression
preprocessing.Compressor
OpenANN::SigmaPi::Constraint	A helper class for specifying weight constrains in a higher-order neural network Derive a new class from this interface and simple reimplement the function call operator for the corresponding higher-order term
OpenANN::DistanceConstraint	Common constraint for encoding translation invariances into a SigmaPi layer
OpenANN::SlopeConstraint	Common constraint for encoding translation and scale invariances into a SigmaPi layer
OpenANN::TriangleConstraint	Common constraint for encoding translation, scale and rotation invariance into a SigmaPi layer
OpenANN::DataSet	Data set interface
BCIDataSet
OpenANN::DataSetView	An index-based dataset wrapper for representing efficient dataset views on any DataSet instance
OpenANN::DirectStorageDataSet	Stores the inputs and outputs of the data set directly in two matrices
OpenANN::WeightedDataSet	Resampled dataset based on the original dataset
TwoSpiralsDataSet
dataset.DataSet
OpenANN::DataStream	Streams training data for online training
dataset.DataStream
Decimator
Distorter	Creates distorted images
DoubleExponentialSmoothing
OpenANN::EnsembleLearner
OpenANN::AdaBoost	Adaptive Boosting
OpenANN::Bagging	Bootstrap Aggregating
net.Error
OpenANN::Evaluator	Evaluates a Learner
OpenANN::MulticlassEvaluator	Evaluates learners for multiclass problems
std::exception	STL class
std::logic_error	STL class
OpenANN::OpenANNException	This exception is thrown for all logical errors that occur in OpenANN API calls that are not time critical
OpenANN::FloatingPointFormatter	Wraps a value and its precision for logging
OpenANN::SigmaPi::HigherOrderUnit
IDXLoader
preprocessing.KMeans
OpenANN::Layer	Interface that has to be implemented by all layers of a neural network that can be trained with backpropagation
OpenANN::AlphaBetaFilter	A recurrent layer that can be used to smooth the input and estimate its derivative
OpenANN::Compressed	Fully connected layer with compressed weights
OpenANN::Convolutional	Applies a learnable filter on a 2D or 3D input
OpenANN::Dropout	Dropout mask
OpenANN::Extreme	Fully connected layer with fixed random weights
OpenANN::FullyConnected	Fully connected layer
OpenANN::Input	Input layer
OpenANN::IntrinsicPlasticity	Learns the parameters of a logistic sigmoid activation function
OpenANN::LocalResponseNormalization	Local response normalization
OpenANN::MaxPooling	Performs max-pooling on 2D input feature maps
OpenANN::RBM	Restricted Boltzmann Machine
OpenANN::SigmaPi	Fully connected higher-order layer
OpenANN::SparseAutoEncoder	A sparse auto-encoder tries to reconstruct the inputs from a compressed representation
OpenANN::Subsampling	Performs average pooling on 2D input feature maps
layer.Layer
layer.SigmaPiLayer
net.Learner
net.Net
net.RBM
net.SparseAutoEncoder
OpenANN::Log	Global logger
util.Log
OpenANN::Logger	A local logger that can redirect messages to several targets
preprocessing.Normalization
util.OpenANN
OpenANN::OpenANNLibraryInfo	Provides information about the OpenANN library
OpenANN::Optimizable	Represents an optimizable object
NeuroEvolutionAgent
OpenANN::Learner	Common base class of all learning algorithms
OpenANN::IntrinsicPlasticity	Learns the parameters of a logistic sigmoid activation function
OpenANN::Net	Feedforward multilayer neural network
OpenANN::RBM	Restricted Boltzmann Machine
OpenANN::SparseAutoEncoder	A sparse auto-encoder tries to reconstruct the inputs from a compressed representation
optimization.Optimizer
optimization.CG
optimization.LBFGS
optimization.LMA
optimization.MBSGD
OpenANN::Optimizer	The common interface of all optimization algorithms
OpenANN::CG	Conjugate Gradient
OpenANN::IPOPCMAES	Evolution Strategies with Covariance Matrix Adaption and a restart strategy that increases the population size (IPOP-CMA-ES)
OpenANN::LBFGS	Limited storage Broyden-Fletcher-Goldfarb-Shanno
OpenANN::LMA	Levenberg-Marquardt Algorithm
OpenANN::MBSGD	Mini-batch stochastic gradient descent
OpenANN::OutputInfo	Provides information about the output of a layer
Parameters< T >
Parameters< double >
preprocessing.PCA
QGLWidget
DoublePoleBalancingVisualization
TwoSpiralsVisualization
util.RandomNumberGenerator
OpenANN::RandomNumberGenerator	A utility class that simplifies the generation of random numbers
OpenANN::Regularization	Holds all information related to regularization terms in an error function
OpenANN::StateSpace	Represents the state space in a reinforcement learning problem
OpenANN::Environment	A reinforcement learning environment
optimization.StoppingCriteria
OpenANN::StoppingCriteria	Stopping criteria for optimization algorithms
OpenANN::StoppingInterrupt	A system-independent interface for checking interrupts that can signals the end of the optimization process externally
Stopwatch
preprocessing.Transformation
OpenANN::Transformer	Common base for all transformations
OpenANN::Compressor	Compresses arbitrary one-dimensional data
OpenANN::KMeans	K-means clustering
OpenANN::Normalization	Normalize data so that for each feature the mean is 0 and the standard deviation is 1
OpenANN::PCA	Principal component analysis
OpenANN::ZCAWhitening	Zero phase component analysis whitening transformation
preprocessing.ZCAWhitening