Releases

First pre-release : 0.1

17 Sep 2024

It provides the following features:

• Multiple basic affinities, including scalar product, Gaussian, and Student kernels.

• Affinities based on k-NN normalizations such as Self-tuning affinities and MAGIC.

• Doubly stochastic affinities with entropic and quadratic projections.

• Adaptive affinities with entropy control (entropic affinity) and its symmetric version.

• Input and output affinities of UMAP.

• A template object AffinityMatcher to solve DR with gradient descent and any input and output affinities.

• Neighbor embedding methods like SNE, t-SNE, t-SNEkhorn, UMAP, LargeVis, and InfoTSNE.

• Template objects for neighbor embedding methods.

• Spectral embeddings via eigendecomposition of the input affinity matrix (when applicable).

• KeOps compatibility for all components, except spectral embeddings.

• Silhouette score.