A collection of transformers (preprocessors). More...
Collaboration diagram for Transformers:
Classes | |
| class | iCub::learningmachine::FixedRangeScaler |
| A class that implements preprocessing based on a fixed range of outputs to a fixed range of outputs. More... | |
| class | iCub::learningmachine::IFixedSizeTransformer |
| An generalized interface for an ITransformer with a fixed domain and codomain size. More... | |
| class | iCub::learningmachine::IScaler |
| The IScaler is a linear scaler based scaler. More... | |
| class | iCub::learningmachine::NullScaler |
| The NullScaler is a scaler that does nothing, the output of the transform function is equal to its input. More... | |
| class | iCub::learningmachine::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... | |
| class | iCub::learningmachine::LinearScaler |
| A class that implements linear scaling as a preprocessing step. More... | |
| class | iCub::learningmachine::Normalizer |
| A class that implements normalization as a preprocessing step. More... | |
| class | iCub::learningmachine::RandomFeature |
| Implementation of Random Feature preprocessing. More... | |
| class | iCub::learningmachine::ScaleTransformer |
| The ScaleTransformer is a ITransformer that supports element-based scaling transformations. More... | |
| class | iCub::learningmachine::SparseSpectrumFeature |
| Implementation of Sparse Spectrum preprocessing. More... | |
| class | iCub::learningmachine::Standardizer |
| A class that implements standardization as a preprocessing step. More... | |
Typedefs | |
| typedef PortableT< ITransformer > | iCub::learningmachine::TransformerPortable |
| A portable wrapper around an ITransformer. | |
Detailed Description
A collection of transformers (preprocessors).
Typedef Documentation
◆ TransformerPortable
A portable wrapper around an ITransformer.
Definition at line 40 of file TransformerPortable.h.
