Sbi

- Fixed pickling of SNRE by moving StandardizeInputs (291)
- Added check to ensure correct round number when presimulated data is provided
- Subclassed Posterior depending on inference algorithm (282, 285)
- Pinned pyro to v1.3.1 as a temporary workaround (see 288)
- Detaching weights for MCMC SIR init immediately to save memory (292)

- Bug fix for log_prob() in SNRE (280)

- Changed the API to do multi-round inference (273)
- Allow to continue inference (273)

- Added missing type imports (275)
- Made compatible for Python 3.6 (275)

- Added `mcmc_parameters` to init methods of inference methods (270)
- Fixed detaching of `log_weights` when using `sir` MCMC init (270)
- Fixed logging for SMC-ABC

- Added option to pass external data (264)
- Added setters for MCMC parameters (267)
- Added check for `density_estimator` argument (263)
- Fixed `NeuralPosterior` pickling error (265)
- Added code coverage reporting (269)