v0.3.6 - Maintenance Release

Compatibility

• Bump required BoTorch version to 0.9.5 (#2065).
• Unpin typeguard dependency (#2044).

New Features

• Allow batch trial to be constructed with a list of GeneratorRuns (#1995).
• Add label_dict to tile plots (#2007).
• Augment exp_to_df with a "reason" column, improve readability of "feasibility" column (#1973, #2047).
• Create output message comparing baseline to optimal result in report_utils.py (#1997, #1998, #2016, #2025, #2031, #2042, #2046, #2050).
• Allow custom search spaces in get_experiment_with_observations (#2027).
• Partial support for GenerationNodes in GenerationStrategy (#1985, #1986, #1991, #2002, #2003, #2018, #2019, #2024, #2033, #2034, #2045).

Bug Fixes

• Fix usage of batch shape for warp transform (#1994).
• Use default dtype in Experiment.clone_with (375bf47).
• Change DerelativizeTransform to not use model predictions when use_raw_status_quo is True or when the status quo is infeasible (#2036).

Deprecations

• Rename Models.BOTORCH to Models.LEGACY_BOTORCH (#1981).

Other Changes

• Do not call dataset.X in input transform constructors (#1993).
• Move pending point utils to core Ax (#2006).
• Load Experiment without runners and metrics in the case where search space and optimization config are immutable (#1656).
• Workaround for tutorial visualizations not working in colab and remote setup (#2030).
• Add extract_pending_observations function that auto-deploys to the correct pending points function for the use case (#2039).
• Wait to re-poll if all results are MetricFetchE (#2055).
• Benchmarks:
  • Update BestPointMixin to support BatchTrial in benchmarks (#2014).
  • Adjust BenchmarkProblem to support multiple noise levels (#2049).
  • Make distribute_replications a required input argument (#2051).