[tune](deps): Bump ax-platform from 0.1.20 to 0.2.8 in /python/requirements/tune

[dependabot]

Bumps ax-platform from 0.1.20 to 0.2.8.

Release notes

Sourced from ax-platform's releases.

v0.2.8 Release

Bugfix for for compatibility with latests pandas release. Also upgrade to BoTorch v0.7.2

v0.2.7 Release

Bug fixes & improvements. Now using BoTorch v0.7.2.

v0.2.6 Release

Bugfixes and incremental improvements. Now using botorch v0.6.6

v0.2.5 Release

Bugfixes and incremental improvements

v0.2.4 Release

• Bugfixes
• Changes to saving custom Metrics and Runners (see Developer API Tutorial for details)

v0.2.3 Release

• Bugfixes
• SAASBO fixes
• Updates to Scheduler (base class now works standalone, with polling functionality delegated to runner)
• Early-stopping support in Service API

v0.2.2 Release

Bugfixes + support for Pareto frontier extraction in Ax Service API

v0.2.1: Release

What’s new?

1. Support Multi-Objective Optimizations for the Service API.
2. Deprecation of SimpleExperiment
3. Several minor tutorial and documentation corrections.
4. Documentation is no longer released with errors in tutorials.

Bugfixes

• IndexError when only using a subset of fields in raw data (facebook/Ax#652)

v0.2.0 Release

What’s new?

1. Modular BotAx + tutorial: new flexible setup for combining BoTorch subcomponents into a Model in Ax,
2. Scheduler + tutorial: new standalone configurable manager abstraction to run asynchronous closed-loop experiments with Ax (with or without human-in-the-loop),
3. GenerationStrategy tutorial: walkthrough for optimization algorithms specification in in Ax,
4. 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,
5. Scalarized outcome constraint support (feature request: facebook/Ax#472),
6. 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),
• Changing a range parameter to fixed (facebook/Ax#383).

Commits

• 5d87063 Bump botorch version in preparation for Ax release (#1170)
• 60aaed3 Genericize interactive loop away from AxClient (#1143)
• ac00137 Implement Interactive Loop with candidate pregeneration (#1144)
• f7174a5 Add annotations to ax/core/map_data.py (#1163)
• 42db4f8 Add annotations to ax/utils/tutorials/cnn_utils.py (#1168)
• 1613482 extend plot limitations to include number of metrics and slice plots (#1164)
• a5febef Store detailed generator runs on trials (#1160)
• 55315b3 Add annotations to ax/modelbridge/map_torch.py (#1166)
• 9158242 Skip contour plots when too many range parameters (#1162)
• 50b8853 Change botorch benchmark problems to take in TestProblem class and kwargs (#1...
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[dependabot]

Superseded by #95.