pyABC 0.12.6

• Add JOSS paper of version 0.12.5
• Update Julia reference DiffEqJump -> JumpProcesses (name change)
• Unfix jinja2
• Update flake8 dependencies after new issues

pyABC 0.12.5

Minor:

• Document outdated Google Colab version (Python 3.7)

pyABC 0.12.4

Minor:

• Move near-zero population weight to warning (#563)
• Improve test installation instructions;
  fix for updates of flake8-print and black (#567)

pyABC 0.12.3

• Document custom priors (#559)

pyABC 0.12.2

• Update citation hints, add logo license (#554)

pyABC 0.12.1

• Fix double logging in grid search

pyABC 0.12.0

Major changes compared to 0.11.0:

New features:

• Add Silk acceptance rate curve based optimal threshold scheme (#539)
• Interface Copasi model simulators via BasiCO (thanks to Frank Bergmann)
  (#531)
• Interface simulators in the Julia language via pyjulia (#514)
• Add Wasserstein and Sliced Wasserstein optimal transport distances (#500)
• Finalize sensitivity weighted distance functions using inverse
  regression models and augmented regression targets (#478, 484)

Technical changes:

• Support python>=3.8 (#543)

Internals:

• Automatic code formatting via black, isort, and nbqa (#506, #508, #544)

Random:

• The logo is pink (#549)

pyABC 0.11.12

• Add Silk acceptance rate curve based optimal threshold scheme (#539)
• Fix Julia version in tests (#542)
• Apply nbqa black and isort to notebooks (#544)
• Update to stable tox
• Require python>=3.8 (#543)

pyABC 0.11.11

• Implement color grouping by summary statistics and parameters in sankey plots (#536)

pyABC 0.11.10

• Add BasiCO-Copasi model interface (thanks to Frank Bergmann) (#531)
• CI: Run Amici without sensitivity calculation (#533)