Comments (2)
@michaeldeistler could you please please please run the tests when you make changes? (@janfb : Michael changed the name).
I don't know how to ask for more care. I am starting to feel worn by this.
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And if Jan cannot understand the logic of the shape change (I also didn't on first inspection), try to make it more evident... The comment should aim at explaining why is that so (e.g. why this is the case for an image - I would expect an image to be ndim 2 anyways so not be affected by this conditional) rather than rephrasing what the code just below does. @michaeldeistler
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Related Issues (20)
- posterior_nn could not be imported HOT 3
- base_dist methods for nflows and zuko
- Access output of embedding net HOT 9
- `MixedDensityEstimator` should be able to have an embedding_net
- `build_categoricalmassestimator` should have z-score option and perform z-scoring by itself.
- Only the `DensityEstimator`s should be carrying `x_shape`
- `log_prob_iid` of MNLE not working
- More flexibility for broadcasting shapes in `DensityEstimator`s
- Revise README of tutorials
- ignoring mcmc sampling HOT 1
- Expected value argument to be within the support but found invalid values HOT 5
- Distribution.log_prob() got an unexpected keyword argument 'condition' HOT 9
- Drop support for python 3.8?
- Use conventional commits and commit linter? HOT 1
- 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
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