adaptive v0.13.0 Release Notes
Release Date: 2021-09-10 // over 1 year ago-
🛠 Fixed bugs:
- AverageLearner doesn't work with 0 mean #275
- 🖨 call self._process_futures on canceled futures when BlockingRunner is done #320 (basnijholt)
- AverageLearner: fix zero mean #276 (basnijholt)
Closed issues:
- ⚙ Runners should tell learner about remaining points at end of run #319
- Cryptic error when importing lmfit #314
- 🔄 change CHANGELOG to KeepAChangelog format #306
- jupyter notebook kernels dead after running "import adaptive" #298
- 📄 Emphasis on when to use adaptive in docs #297
- GPU acceleration #296
🔀 Merged pull requests:
- ✅ Learner1D type hints and add typeguard to pytest tests #325 (basnijholt)
- AverageLearner type hints #324 (basnijholt)
- Update doc string for resolution_loss_function #323 (SultanOrazbayev)
- ⚡️ Update Readme to emphasise when adaptive should be used #318 (thomasaarholt)
- ➕ add to_numpy methods #317 (basnijholt)
- lazily evaluate the integrator coefficients #311 (basnijholt)
- AverageLearner1D added #283 (AlvaroGI)
- 👉 Make LearnerND pickleable #272 (basnijholt)
- ➕ add a FAQ #242 (basnijholt)
Previous changes from v0.12.2
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🔀 Merged pull requests:
- raise an AttributeError when attribute doesn't exists, closes #314 #315 (basnijholt)