Comments (3)
are interfaces not 'stabilised' yet? I.e. there is no mode of calling SBI that is stable?
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This issue was created on March 23, but probably some notebooks haven't been updated since then. All the issues 'API changes' imply changes to the way you use SBI, hence these are prioritised for the release.
from sbi.
We will delete all old examples in a single commit leaving only the HH_simulator.ipynb
.
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Related Issues (20)
- Use conventional commits and commit linter? HOT 2
- Density Estimator batched sample mixes up samples from different posteriors
- unable to import `posterior_nn` from `sbi.neural_nets` in v0.22.0 HOT 8
- GPU compatible (L-)C2ST
- hardcoded transfer of data and model to cpu triggers UserWarning
- Pyright failing on main in pyro flows HOT 2
- Create web hook for SBI discord server. HOT 1
- Improving the structure of the documentation and website HOT 1
- Analysis tests file on GPU HOT 1
- Remove UserWarning about GPU speed up HOT 1
- categorial mass estimator and mnle fails for 2D density estimator test HOT 2
- Using MCMCPosterior gives 'Sequential' object has no attribute 'log_prob' HOT 3
- `simulate_for_sbi` not saturating CPU HOT 11
- Slow L-C2ST test fails locally HOT 2
- `pairplot` with 1 dimensional tensor returns an error HOT 2
- `sbi.analysis` seems broken because `np.string_` was removed in the NumPy 2.0 release. HOT 8
- refactor neural_nets module HOT 1
- hyperparameter tuning for the models? HOT 1
- How to set up custom embedding nets for CUDA training HOT 1
- c2st fails when one feature is constant HOT 1
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