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HAMMER

High-Dimensional Factor-Analytic Representation Modeling and Metrics

v1.0 · Jun 8, 2026 · GPL (>= 2)

Description

The goal of 'HAMMER' is to provide factor analytic representation learningand associated determinacy metrics for very-high-dimensional data. It projects high-dimensional data onto low-dimensional generative latent sources and assesses the uncertainty in the projection. The projection is distribution-free, scale-equivariant, and efficient.

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OK 7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026

Dependency Network

Dependencies Reverse dependencies RSpectra HAMMER

Version History

1 tracked
new 1.0 Jun 8, 2026