iCub-main
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A collection of machine learning algorithms. More...
Classes | |
class | iCub::learningmachine::DatasetRecorder |
This 'machine learner' demonstrates how the IMachineLearner interface can be used to easily record samples to a file. More... | |
class | iCub::learningmachine::DummyLearner |
This dummy machine learner demonstrates how the IMachineLearner interface can be used in practice. More... | |
class | iCub::learningmachine::IFixedSizeLearner |
An generalized interface for a learning machine with a fixed domain and codomain size. More... | |
class | iCub::learningmachine::IMachineLearner |
A generalized interface for a learning machine for offline and online learning machines (e.g. More... | |
class | iCub::learningmachine::LinearGPRLearner |
Standard linear Bayesian regression or, equivalently, Gaussian Process Regression with a linear covariance function. More... | |
class | iCub::learningmachine::LSSVMLearner |
This is basic implementation of the LSSVM algorithms. More... | |
class | iCub::learningmachine::Prediction |
A class that represents a prediction result. More... | |
class | iCub::learningmachine::RLSLearner |
Recursive Regularized Least Squares (a.k.a. More... | |
Typedefs | |
typedef PortableT< IMachineLearner > | iCub::learningmachine::MachinePortable |
A portable wrapper around an IMachineLearner. More... | |
A collection of machine learning algorithms.
A portable wrapper around an IMachineLearner.
Definition at line 39 of file MachinePortable.h.