[tune](deps): Bump nevergrad from 0.4.3.post7 to 0.6.0 in /python/requirements/tune

[dependabot]

Bumps nevergrad from 0.4.3.post7 to 0.6.0.

Release notes

Sourced from nevergrad's releases.

Cleaning, better naming.

Adding NGOptRW, presumably better than NGOpt for real-world problems. Adding YAPBBOB, with a parameter regulating YABBOB-like problems so that the distribution of the optimum is less rotationally invariant. Making some dependencies optional because running was becoming too complicated. There should be no breaking change. Adding constrained counterparts of YABBOB: yapenbbob (a few constraints), yaonepenbbob (single constraint), yamegapenbbob (many constraints). Improvements in the photonics benchmarks. Externalizing CompilerGym. Making some tests less flaky. Adding Simulated annealing and Tabu search. Adding the NLOPT library. Making the code more robust to Gym environments. Adding smoothness operators for discrete optimization.

0.5.0

See CHANGELOG for details.

Adding NGOptRW and add constraint penalization

No release notes provided.

Changelog

Sourced from nevergrad's changelog.

Changelog

main

v6.0 (2022-02-22)

Breaking changes

• Removed descriptor field of parameters which had been deprecated in previous versions. Use function field instead to specify if the function is deterministic or not #X.

Important changes

• TransitionChoice behavior has been changed to use bins instead of a full float representation. This may lead to slight changes during optimizations. It can also be set as unordered for use with discrete 1+1 optimizers (experimental)
• Adding NGOptRW, presumably better than NGOpt for real-world problems.
• Making some dependencies optional because running was becoming too complicated.
• Adding the NLOPT library.
• Adding smoothness operators for discrete optimization.

Other changes

• Adding YAPBBOB, with a parameter regulating YABBOB-like problems so that the distribution of the optimum is less rotationally invariant.
• Adding constrained counterparts of YABBOB: yapenbbob (a few constraints), yaonepenbbob (single constraint), yamegapenbbob (many constraints).
• Improvements in the photonics benchmarks.
• Externalizing CompilerGym.
• Making some tests less flaky.
• Adding Simulated annealing and Tabu search.
• Making the code more robust to Gym environments.

0.5.0 (2022-03-08)

Breaking changes

• copy() method of a Parameter does not change the parameters's random state anymore (it used to reset it to None #1048
• MultiobjectiveFunction does not exist anymore #1034.
• Choice and TransitionChoice have some of their API changed for uniformization. In particular, indices is now an ng.p.Array (and not an np.ndarray) which contains the selected indices (or index) of the Choice. The sampling is performed by specific "layers" that are applied to Data parameters #1065.
• Parameter.set_standardized_space does not take a deterministic parameter anymore #1068. This is replaced by the more general with ng.p.helpers.determistic_sampling(parameter) context. One-shot algorithms are also updated to choose options of Choice parameters deterministically, since it is a simpler behavior to expect compared to sampling the standardized space than sampling the option stochastically from there
• RandomSearch now defaults to sample values using the parameter.sample() instead of a Gaussian #1068. The only difference comes with bounded variables since in this case parameter.sample() samples uniformly (unless otherwise specified). The previous behavior can be obtained with RandomSearchMaker(sampler="gaussian").
• PSO API has been slightly changed #1073
• Parameter instances descriptor attribute is deprecated, in favor of a combinaison of an analysis function (ng.p.helpers.analyze) returning information about the parameter (eg: whether continuous, deterministic etc...)

... (truncated)

Commits

• 41a432d P-BBOB (#1494)
• 521b6c3 Update optimization.rst (#1491)
• 8debe53 Newmegapen (#1489)
• 3c09402 Mega constrained problems (#1486)
• c6e5c9c fix (#1480)
• da543e5 NG: fix and simplify dependencies (#1478)
• 8df3d76 Update test_doc.py (#1474)
• d959f7d benchmarks for penalized objective functions (#1477)
• 6a3b51a Bug in RCWA code. (#1473)
• c15feb0 Constraint penalty (#1476)
• Additional commits viewable in compare view

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