* Add sample example
* Copy relevant lines of ask from inherited Optimizer
* Ignore strategy
* Additional changes
* Add DragonflySearch for tune connector for Dragonfly
* Add example and fix small errors
* lint
* Remove skopt references
* Update example based off of Dragonfly changes
* Edit example for final Dragonfly edits
* Formatting and documentation edits
* Add documentation and add to test pipeline
* Address PR comments
* Fix Jenkins test
* Adjust Dragonfly to PR#7366
* Lint
* fix_tests
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
* Remove all __future__ imports from RLlib.
* Remove (object) again from tf_run_builder.py::TFRunBuilder.
* Fix 2xLINT warnings.
* Fix broken appo_policy import (must be appo_tf_policy)
* Remove future imports from all other ray files (not just RLlib).
* Remove future imports from all other ray files (not just RLlib).
* Remove future import blocks that contain `unicode_literals` as well.
Revert appo_tf_policy.py to appo_policy.py (belongs to another PR).
* Add two empty lines before Schedule class.
* Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
## What do these changes do?
This PR prepares for future version 0.2.0 of `nevergrad`, in which each suggestion is a `Candidate` instance having fields `args` and `kwargs` instead of being a `np.ndarray`. The proposed changes are compatible with all versions of `nevergrad` (manually tested with `nevergrad_example.py` on both `master` and current version `v0.1.6`).
See `nevergrad`'s [CHANGELOG](https://github.com/facebookresearch/nevergrad/blob/master/CHANGELOG.md) for more information on the change.
## Related issue number
None
## Linter
- [x] I've run `scripts/format.sh` to lint the changes in this PR.
Uses `tune.run` to execute experiments as preferred API.
@noahgolmant
This does not break backwards compat, but will slowly internalize `Experiment`.
In a separate PR, Tune schedulers should only support 1 running experiment at a time.
