Elfi

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- Added support for kwargs in elfi.set_client
- Added new example: inference of transmission dynamics of bacteria in daycare
centers
- Added new example: Lorenz model

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- Implemented model selection (elfi.compare_models). See API documentation.
- Fix threshold=0 in rejection sampling
- Set default batch_size to 1 in ParameterInference base class

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- Added new example: the stochastic Lotka-Volterra model
- Fix methods.bo.utils.minimize to be strictly within bounds
- Implemented the Two Stage Procedure, a method of summary-statistics
diagnostics
- Added the MaxVar acquisition method
- Added the RandMaxVar acquisition method
- Added the ExpIntVar acquisition method
- Implemented the Two Stage Procedure, a method of summary-statistics
diagnostics
- Added new example: the stochastic Lotka-Volterra model
- Fix methods.bo.utils.minimize to be strictly within bounds
- Fix elfi.Distance to support scipy 1.0.0

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- Further performance improvements for rerunning inference using stored data
via caches
- Added the general Gaussian noise example model (fixed covariance)
- restrict NetworkX to versions < 2.0

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- Easier saving and loading of ElfiModel
- Renamed elfi.set_current_model to elfi.set_default_model
- Renamed elfi.get_current_model to elfi.get_default_model
- Improved performance when rerunning inference using stored data
- Change SMC to use ModelPrior, use to immediately reject invalid proposals

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- Fix elfi.Prior and NoneType error 203
- Fix a bug preventing the reuse of ArrayPool data with a new inference
- Added pickling for OutputPool:s
- Added OutputPool.open to read a closed pool from disk
- Refactored Sample and SmcSample classes
- Added elfi.new_model method
- Made elfi.set_client method to accept clients as strings for easier client
switching
- Fixed a bug in NpyArray that would lead to an inconsistent state if multiple
simultaneous instances were opened.
- Added the ability to move the pool data folder
- Sample.summary is now a method instead of a property
- SmcSample methods takes the keyword argument 'all' to show results of all
populations
- Added a section about iterative advancing to documentation