Module: tfp.experimental.fastgp.linalg
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Linear algebra routines to use for preconditioners.
View aliases
Main aliases
`tfp.experimental.fastgp.fast_gp.fast_log_det.preconditioners.linalg`, `tfp.experimental.fastgp.fast_gp.preconditioners.linalg`, `tfp.experimental.fastgp.fast_log_det.preconditioners.linalg`, `tfp.experimental.fastgp.fast_mtgp.fast_gp.fast_log_det.preconditioners.linalg`, `tfp.experimental.fastgp.fast_mtgp.fast_gp.preconditioners.linalg`, `tfp.experimental.fastgp.fast_mtgp.fast_log_det.preconditioners.linalg`, `tfp.experimental.fastgp.fast_mtgp.preconditioners.linalg`, `tfp.experimental.fastgp.preconditioners.linalg`
Modules
partial_lanczos module: Run Lanczos for m iterations to get a good preconditioner.
Classes
class Array: Array base class for JAX
Functions
largest_eigenvector(...): Returns the largest (eigenvalue, eigenvector) of M.
make_partial_lanczos(...): Return low rank approximation to M based on the partial Lancozs alg.
make_partial_pivoted_cholesky(...): Return low rank approximation to M based on partial pivoted Cholesky.
make_randomized_truncated_svd(...): Returns approximate SVD for symmetric M.
make_truncated_svd(...): Return low rank approximation to M based on the partial SVD alg.
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Last updated 2026-11-05 UTC.
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