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v0.4.0
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@crasanders crasanders released this 05 Jun 20:40
· 92 commits to main since this release
0.4.0
d36ddb0

New features:

  • Ax can now be used as a backend. This is opt-in for now, but will become the default in a future version. Documentation here.
  • Added aepsych_database as a command-line executable for performing database operations.
  • Added MultitaskGPRModel and IndependentMultitaskGPRModel for offline analysis of multi-subject data.
  • Added the semi-parametric models from Keeley et al., 2023. Tutorial here.
  • Added ability to pre-generate trials asynchronously on the server by specifying pregen_asks = True in the config file.
  • default_mean_covar_factory can now take dim directly as an argument instead of having to read it from a Config.
  • Expanded the tutorial on Gaussian process active learning.
  • Implemented an info message that allows clients to query the server for info about its state.
  • Added additional type hints and docstrings throughout the codebase.
  • Updates to dependencies.

Bug fixes:

  • Fixed bug that caused BinaryClassificationGP to calculate variance incorrectly in probability space.
  • Removed redundant "model fitting" logs.
  • Fixed a type error in MonotonicThompsonSamplerGenerator
  • Fixed a shape error in EpsilonGreedyGenerator.
  • Fixed a broken test in test_model_query.py.

Other changes:

  • Removed versioned server messages since we now have versioned releases and refactored server messages to be helper functions instead of AEPsychServer methods.
  • Updated example configs to suggest EAVC as the threshold-finding acquisition function instead of MCLSE.
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