v0.1.9 Release
Core
- Introduces new methods
complete_trial()
andupdate_trial()
, which allow for full or partial completion of trials, respectively - Introduces a
DataRequiredError
error, allowing generation strategies to signal when more data is necessary before new suggestions can be generated - Adds support for custom generation strategies as a part of the managed loop
- Some storage API cleanup to deprecate the DISPATCHED status
Modelling/Botorch
- Bumps up the botorch version to 0.2.1, the latest as of this release
- Introduces new linear embedding methods (ALEBO, REMBO, HeSBO)
- Adds functionality for benchmarking external methods that implement a minimization interface like scipy.optimize.minimize.
Tutorials
- Fixes to the multi-task tutorial
- Fixes to the Service API tutorial