Module transform
Expand description
Transformations to be used with datasets.
Structs§
- Composed
Dataset - Compose multiple datasets together to create a bigger one.
- Mapper
Dataset - Dataset mapping each element in an inner dataset to another element type lazily.
- Partial
Dataset - Only use a fraction of an existing dataset lazily.
- Sampler
Dataset - Sample items from a dataset.
- Shuffled
Dataset - Shuffled a dataset, consider using sampler dataset is you want a probability distribution that is computed lazily.
- Windows
Dataset - Dataset designed to work with overlapping windows of data.
- Windows
Iterator - Overlapping windows iterator.
Traits§
- Mapper
- Basic mapper trait to be used with the mapper dataset.
- Window
- Functionality to create a window.
- Windows
- Functionality to create a
WindowsIterator
.