| Interface | Description |
|---|---|
| Denormaliser |
Interface for objects that con both normalise and denormalise data.
|
| Normaliser |
Interface describing an object that can apply normalisation to some data
vectors.
|
| TrainableNormaliser |
Interface for
Normalisers that need to be pre-trained in order to
compute relevant statistics to perform the actual normalisation operation. |
| Class | Description |
|---|---|
| PerExampleMeanCenter |
Subtract the mean of each example vector from itself to normalise the vector.
|
| PerExampleMeanCenterVar |
Subtract the mean of each example vector from itself and divide by the
standard deviation to normalise the vector such that it has unit variance.
|
| ZScore |
z-score normalisation (standardisation).
|