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amzn / amazon-ray

Staging area for ongoing enhancements to Ray focused on improving integration with AWS and other Amazon technologies.
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[tune](deps): Bump nevergrad from 0.4.2.post5 to 0.4.3.post4 in /python/requirements/tune #54

Closed dependabot[bot] closed 3 years ago

dependabot[bot] commented 3 years ago

Bumps nevergrad from 0.4.2.post5 to 0.4.3.post4.

Release notes

Sourced from nevergrad's releases.

0.4.3

This version provides a few fixes and the new multi-objective API of optimizers (you can now provide a list/array of float to tell directly). This allows fore more efficient multi-objective optimization for some optimizers (DE, NGOpt). Future work will continue to improve multi-objective capacities and aim at improving constraints management.

See CHANGELOG for details.

Changelog

Sourced from nevergrad's changelog.

Changelog

master

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...) and a new function attribute which can be used to provide information about the function (eg: whether deterministic etc) #1076.
  • Half the budget alloted to solve cheap constrained is now used by a sub-optimizer #1047. More changes of constraint management will land in the near future.
  • Experimental methods Array.set_recombination and Array.set_mutation(custom=.) are removed in favor of layers changing Array behaviors #1086. Caution: this is still very experimental (and undocumented).

Important changes

  • Parameter classes are undergoing heavy changes, please open an issue if you encounter any problem. The midterm aim is to allow for simpler constraint management.
  • Parameter have been updated have undergone heavy changes to ease the handling of their tree structure ( #1029 #1036 #1038 #1043 #1044 )
  • Parameter classes have now a layer structure #1045 which simplifies changing their behavior. In future PRs this system will take charge of bounds, other constraints, sampling etc.
  • The layer structures allows disentangling bounds and log-distribution. This goal has been reached with #1053 but may create some instabilities. In particular, the representation (__repr__) of Array has changed, and their bounds attribute is no longer reliable for now. This change will eventually lead to a new syntax for settings bounds and distribution, but it's not ready yet.

... (truncated)

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dependabot[bot] commented 3 years ago

Superseded by #70.