Related Issues (20)
- Implement new TFP optimisers?
- Extract convergence and iteration information from TF2 optimisers
- Deprecate optimisers accessed through compat?
- Improve documentation on non-independent sampling using greta_array()
- install_greta_deps() claims success when it has actually failed (windows) HOT 3
- Creating 'greta-env' conda environment using python v3.7 failed HOT 2
- TF2 Errors in `test_inference.R` - bad proposals are not rejected HOT 1
- TF2 error - Failure (`test_inference.R:293)`: mcmc supports rwmh sampler with normal/uniform proposals HOT 3
- TF2 error - Failure (`test_inference.R:317`): mcmc supports slice sampler with single precision models
- TF2 error - Failure (`test_inference.R:351`): numerical issues are handled in mcmc
- TF2 - Failure (`test_inference.R:375`): mcmc works in parallel - cannot find TF installation when using `future`
- TF2 error - "adam" optimiser doesn't converge
- TF2 error - "iterations" object not found for `adagrad_da` `proximal_adagrad` `proximal_gradient_descent` HOT 2
- Implement `outer` function in greta
- error retrieving diagonal from rectangular matrix HOT 2
- Implement helper function to provide better initial values HOT 2
- M1 TF2 cholesky factors all out of whack in calculate HOT 4
- Alternative backends with greta (e.g., torch, xtensor) HOT 1
- Fix `compare_iid_samples` for wishart
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