tfp.experimental.distributions.marginal_fns.make_cholesky_like_marginal_fn

Use a Cholesky-like function for GaussianProcess marginal_fn.

tfp.experimental.distributions.marginal_fns.make_cholesky_like_marginal_fn(
    cholesky_like, name='CholeskyLikeMarginalFn'
)

For use with "Cholesky-like" lower-triangular factorizations (LL^T). See make_backoff_cholesky for one way to create such functions.

cholesky_like A callable with the same signature as tf.linalg.cholesky.
name Python str name prefixed to Ops created by this function. Default value: 'CholeskyLikeMarginalFn'.

marginal_function A function that can be used with the marginal_fn argument to GaussianProcess.