Glass Box UMAP augments UMAP by computing exact feature contributions to the UMAP embedding.
Standard UMAP produces embeddings but offers no insight into why points land where they do. Glass Box UMAP solves this by using a specially designed neural network that enables exact computation of feature contributions, and does so without approximations. The feature attributions are mathematically exact, validated to near machine precision.
All resources are hosted at https://glass-box-umap.readthedocs.io.
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Glass Box UMAP is part of Arcadia Science's commitment to open, reproducible research tools.