0.5.0

New features

• pyro.factor to add arbitrary log probability factor to a probabilistic model.
• Conditional MADE Autoregressive Network available in pyro.nn.
• Tutorial on adaptive experiment design for studying working memory.
• KL divergence for Delta and Independent distributions.
• A fast n log(n) implementation of the Continuous Ranked Probability Score (CRPS) for sample sets: pyro.ops.stats.crps_empirical

Code changes and bug fixes

• Moved pyro.generic to a separate pyro-api package.
• Minor changes to ensure compatibility with pyro-api, a generic modeling and inference API for dispatch to different Pyro backends.
• Improve numerical stability of MixtureOfDiagonals distribution using logsumexp operation.
• Improved U-Turn check condition in NUTS for better sampling efficiency.
• Reorganized constraints and transforms module to match torch.distributions.
• Fixed AutoGuide intitialization stragtegies, resolving a bug in init_to_median.