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| class | DatasetRecorder |
| | This 'machine learner' demonstrates how the IMachineLearner interface can be used to easily record samples to a file. More...
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| |
| class | DispatcherManager |
| | The DispatcherManager provides a YARP-based configuration interface for the EventDispatcher. More...
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| |
| class | DummyLearner |
| | This dummy machine learner demonstrates how the IMachineLearner interface can be used in practice. More...
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| |
| class | EventDispatcher |
| | The EventDispatcher manages the relation between the various instances of IEventListeners and IEvents. More...
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| |
| class | FactoryT |
| | A template class for the factory pattern. More...
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| |
| class | FileReaderT |
| | Template class that supports reading lines of a file to object instances using a fromString(char* line) method (e.g. More...
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| |
| class | FixedRangeScaler |
| | A class that implements preprocessing based on a fixed range of outputs to a fixed range of outputs. More...
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| |
| class | IEvent |
| |
| class | IEventListener |
| |
| class | IFixedSizeLearner |
| | An generalized interface for a learning machine with a fixed domain and codomain size. More...
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| |
| class | IFixedSizeTransformer |
| | An generalized interface for an ITransformer with a fixed domain and codomain size. More...
|
| |
| class | IMachineLearner |
| | A generalized interface for a learning machine for offline and online learning machines (e.g. More...
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| |
| class | IMachineLearnerModule |
| | An abstract base module for the machine learning YARP interface. More...
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| |
| class | IMachineProcessor |
| | Generic abstract class for machine based processors. More...
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| |
| class | IPortEventListener |
| | The abstract base class for EventListeners that output to a port. More...
|
| |
| class | IScaler |
| | The IScaler is a linear scaler based scaler. More...
|
| |
| class | ITransformer |
| | A class that provides a preprocessing interface, which can be used to preprocess the data samples that have been received by the MachineLearner. More...
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| |
| class | ITransformProcessor |
| | Generic abstract class for transformer based processors. More...
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| |
| class | Kernel |
| |
| class | LinearGPRLearner |
| | Standard linear Bayesian regression or, equivalently, Gaussian Process Regression with a linear covariance function. More...
|
| |
| class | LinearScaler |
| | A class that implements linear scaling as a preprocessing step. More...
|
| |
| class | LSSVMLearner |
| | This is basic implementation of the LSSVM algorithms. More...
|
| |
| class | Normalizer |
| | A class that implements normalization as a preprocessing step. More...
|
| |
| class | NullScaler |
| | The NullScaler is a scaler that does nothing, the output of the transform function is equal to its input. More...
|
| |
| class | PortableT |
| | A templated portable class intended to wrap abstract base classes. More...
|
| |
| class | PredictEvent |
| |
| class | PredictEventListener |
| |
| class | Prediction |
| | A class that represents a prediction result. More...
|
| |
| class | PredictModule |
| | A module for predictions. More...
|
| |
| class | PredictProcessor |
| | Reply processor helper class for predictions. More...
|
| |
| class | RandomFeature |
| | Implementation of Random Feature preprocessing. More...
|
| |
| class | RBFKernel |
| |
| class | RLSLearner |
| | Recursive Regularized Least Squares (a.k.a. More...
|
| |
| class | ScaleTransformer |
| | The ScaleTransformer is a ITransformer that supports element-based scaling transformations. More...
|
| |
| class | SparseSpectrumFeature |
| | Implementation of Sparse Spectrum preprocessing. More...
|
| |
| class | Standardizer |
| | A class that implements standardization as a preprocessing step. More...
|
| |
| class | TrainEvent |
| | A TrainEvent is raised when the machine handles a training sample. More...
|
| |
| class | TrainEventListener |
| |
| class | TrainModule |
| | A module for training. More...
|
| |
| class | TrainProcessor |
| | Port processor helper class for incoming training samples. More...
|
| |
| class | TransformModule |
| | A module for transforming vectors. More...
|
| |
| class | TransformPredictProcessor |
| | Reply processor helper class for predictions. More...
|
| |
| class | TransformTrainProcessor |
| | Port processor helper class for incoming training samples. More...
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| |
