* Lazily fill trial queue
* Update interface
* Update end to end reporter test
* Removed `next_trials()` method
* Lint
* Print total number of samples to be generated in progress reporter. Allow infinite samples.
* Nit check
* Added basic functionality and tests
* Feature parity with old tune search space config
* Convert Optuna search spaces
* Introduced quantized values
* Updated Optuna resolving
* Added HyperOpt search space conversion
* Convert search spaces to AxSearch
* Convert search spaces to BayesOpt
* Added basic functionality and tests
* Feature parity with old tune search space config
* Convert Optuna search spaces
* Introduced quantized values
* Updated Optuna resolving
* Added HyperOpt search space conversion
* Convert search spaces to AxSearch
* Convert search spaces to BayesOpt
* Re-factored samplers into domain classes
* Re-added base classes
* Re-factored into list comprehensions
* Added `from_config` classmethod for config conversion
* Applied suggestions from code review
* Removed truncated normal distribution
* Set search properties in tune.run
* Added test for tune.run search properties
* Move sampler initializers to base classes
* Add tune API sampling test, fixed includes, fixed resampling bug
* Add to API docs
* Fix docs
* Update metric and mode only when set. Set default metric and mode to experiment analysis object.
* Fix experiment analysis tests
* Raise error when delimiter is used in the config keys
* Added randint/qrandint to API docs, added additional check in tune.run
* Fix tests
* Fix linting error
* Applied suggestions from code review. Re-aded tune.function for the time being
* Fix sampling tests
* Fix experiment analysis tests
* Fix tests and linting error
* Removed unnecessary default_config attribute from OptunaSearch
* Revert to set AxSearch default metric
* fix-min-max
* fix
* nits
* Added function check, enhanced loguniform error message
* fix-print
* fix
* fix
* Raise if unresolved values are in config and search space is already set
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
* 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
* Minor changes to ordering
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
* 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.
