Comments (1)
Closing as stochastic optimisation isn't on the books for a while
from greta.
Related Issues (20)
- 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
- Cholesky fails on a non-M1 system HOT 2
- fix greta package alias HOT 1
- Use `expect_no_error()` over `expect_ok`
- Explore using Python 3.12
- TF2 error - Failure (`test_distributions.R:1101)`: Cholesky factor of Wishart should be an upper triangular matrix HOT 8
- TF2 error - Failure (`test_distributions.R:1110`): Cholesky factor of LJK_correlation should be an upper triangular matrix
- Detect and "awaken" dead pointers so greta can work with targets
- add more test and edge cases for `gradient_descent()`
- `log.greta_array()` has unused `base` argument
- Photo of Grete Hermann no longer hosted at linked image
- greta in "imports" of a targets workflow HOT 2
- Fix undeclared dependency on DiagrammeRsvg HOT 1
- plotting greta dag when reloading model doesn't always work
- Patch fix for cholesky in TF2 HOT 1
- Some notes on git bisect in understanding a regression bug
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