pyABC 0.9.21

• Introduce acceptor.StochasticAcceptor to encode the stochastic acceptance
  step generalizing the standard uniform criterion.
• Introduce distance.StochasticKernel to encode noise distributions, with
  several concrete implementations already.
• Introduce epsilon.Temperature to capture the temperature replacing the
  traditional epsilons. In addition, multiple concrete
  pyabc.epsilon.TemperatureSchemes have been implemented that handle the
  calculation of the next temperature value (all #197).

pyABC 0.9.20

• Add high-level versions of the kde plotting routines (#204).
• Add unit tests for common epsilon schemes (#207).

pyABC 0.9.19

• Move to cffi>=1.13.1 after that bug was surprisingly quickly fixed (#195).
• Create sub-module for epsilon (#189).
• Add plots for sample and acceptance rate trajectories (#193).

pyABC 0.9.18

• Add create_sqlite_db_id convenience function to create database names.
• Temporarily require cffi=1.12.2 for rpy2 on travis (all #185).
• Introduce UniformAcceptor and SimpleFunctionAcceptor classes to streamline
  the traditional acceptance step.
• Add AcceptorResult and allow weights in the acceptance step (all #184).

pyABC 0.9.17

• Use latest pypi rpy2 version on travis and rtd since now the relevant
  issues were addressed there (easier build, esp. for users).
• In pyabc.external, do not require rpy2 to exist.
• Update rtd build to version 2 (all #179).
• Render logo text for platform independence.
• Prevent stochastic transition test from failing that often.
• Remove deprecated pd.convert_objects call in web server.
• Allow pandas.Series as summary statistics, by conversion to
  pandas.DataFrame (all #180).

pyABC 0.9.16

• Add AggregatedDistance function, and a basic self-tuned version
  AdaptiveAggregatedDistance.
• Add additional factors to PNormDistance and AggregatedDistance for
  flexibility. Minor API break: argument w renamed to weights.
• In the adaptive_distances and the aggregated_distances notebooks, add
  examples where some methods can fail.
• Add plot_total_sample_numbers plot (#173).

pyABC 0.9.15

• Some extensions of external simulators interface (#168).
• Add basic plots of summary statistics (#165).
• Document high-performance infrastructure usage (#159).
• Self-administrative: Add social preview (#158), and link to zenodo (#157).
• Fix external deprecations (#153).
• Re-add R related tests (#148).

pyABC 0.9.14

• Update to rpy2 3.1.0 (major change) (#140).
• pandas data frames saved in database via pyarrow parquet, no longer
  msgpack (deprecated), with backward compatibility for old databases (#141).
• Redis workers no longer stop working when encountering model errors (#133).
• Minor edits, esp. color, size, axes options to plotting routines.

pyABC 0.9.13

• Fix dependency updates (rpy2, sklearn) and travis build.
• Add option to limit number of particles for adaptive distance updates.
• Rename confidence -> credible intervals and plots (Bayesian context).
• Extract from database and plot reference parameter values.
• Allow to plot MAP value approximations in credible interval plots.
• Add a general interface to external scripts that allow using pyabc in a
  simple way in particular with other programing languages.

pyABC 0.9.12

• Reorganize distance module (minor API change: distance_functions -> distance, and some classes shortened accordingly)
• Allow to pass parameters to Acceptor and Distance.
• Make time and parameter arguments to distance functions optional.
• Rewrite lazy evaluation for calibration sample in ABCSMC class.
• Give default values for ABCSMC.run arguments, which set no stopping criterion.
• Add function and plot for effective sample size.