paraDime: A Framework for Parametric Dimensionality Reduction¶
paraDime is a modular framework for specifying and training parametric dimensionality reduction (DR) models. These models allow you to add new data points to existing low-dimensional representations of high-dimensional data. ParaDime DR models are constructed from simple building blocks (such as Relations and Relation Transforms), so that experimentation with novel DR techniques becomes easy.
The rest of the 60,000 images can then be easily embedded into the same space without retraining the t-SNE:
- Simple Usage
- Building Blocks of a paraDime Routine