Modular BotAx + tutorial: new flexible setup for combining BoTorch subcomponents into a Model in Ax,
Scheduler + tutorial: new standalone configurable manager abstraction to run asynchronous closed-loop experiments with Ax (with or without human-in-the-loop),
GenerationStrategy tutorial: walkthrough for optimization algorithms specification in in Ax,
Bayesian optimization with categorical kernels exposed in Ax and auto-selected in Service and Loop APIs (via choose_generation_strategy). This eliminates the need to opt for Sobol quasi-random search when a given search space contains predominantly choice (a.k.a. categorical or discrete) parameters,
Scalarized outcome constraint support (feature request: facebook/Ax#472),
Extended exp_to_df utility to conveniently display an Ax Experiment as a dataframe of trials and arms.
Bugfixes
Abandoned arms and trials exclusion from modeling data (facebook/Ax#506),
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Bumps ax-platform from 0.1.20 to 0.2.0.
Release notes
Sourced from ax-platform's releases.
Commits
de18d48
pin latest botorch release before releasing Ax752214a
utility for plotting performance as a function of timeac9fbc8
make plotly versions of feature importance plots5dbd88a
remove unclaimed pip dependency05d8b4b
suppress errors infbcode/ax
- batch 10afd0fe
Add docstring and remove catch-all kwargs fromTrial.lookup_data
fc78cb5
Block candidate generation on poor fit13ebe1d
Move repeated arm fix to add_generator_run6bfe269
Makeget_best_trial
robust to missing objective value17dc139
Move NEHVI to OSS (#611)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
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