[tune](deps): Bump ax-platform from 0.1.20 to 0.2.10 in /python/requirements/tune

[dependabot]

Bumps ax-platform from 0.1.20 to 0.2.10.

Release notes

Sourced from ax-platform's releases.

v0.2.10 Release

• Bump required botorch version to 0.8.0
• Enable relative outcome constraints
• Misc bugfixes and improvements
  • Bugfix in BestPointMixin.get_trace
  • Avoid unnecessary model re-fitting in some cases
  • Allow inferred noise in benchmarking via infer_noise flag

v0.2.9 Release

• Revamped Metric API
  • Metrics now return Result type for data fetching methods. This allows metrics to encode exceptions encountered during fetching into their returned value so Ax can defer their raising.
    • Call experiment.fetch_data_results to access these Results (organized by trial index and metric name) on the Experiment level.
      • experiment.fetch_data still returns Data directly by unwrapping the results under the hood for backwards compatibility considerations.
    • To update your existing custom Metrics you must wrap the return value of fetch_trial_data with Ok.
      • See the Scheduler tutorial for an example
• Improvements to Scheduler Exception handling via Results
  • If an Exception is encountered by the Scheduler during data fetching, either mark the trial as FAILED or continue the optimization (while alerting the user) depending on the failed metric’s role in the optimization. See scheduler.py for exact rules.
• SAASBO memory utilization improvements
• Miscellaneous bugfixes

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.

... (truncated)

Commits

• c6c67d8 Make evaluation metadata accept iso formatted dates in addition to ints in ms...
• e108d37 Pin Sphinx version (#1348)
• b0958dd Set ALLOW_LATEST_GPYTORCH_LINOP: true in CI using latest BoTorch + GPyTorch (...
• 9b8df90 Make it possible to infer noise (#1345)
• f7ef062 Avoid re-fitting SAASBO models when there's no new data (#1331)
• 5e61497 Allow -1 generation step index (#1342)
• bf197a7 Skip model fitting in TorchModelBridge._fit if the observations haven't cha...
• 7b674bc Fix equality check for np arrays with NaNs (#1343)
• e56ed36 Update BestPointMixin.get_trace to extract observations directly from data
• ddb90ca Don't refit surrogate in runner (#1339)
• Additional commits viewable in compare view

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