* 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>
* adding function convnet example
* add unit test
* update test
* update example
* wip
* move error from experiment to tune
* wip
* Fix checkpoint deletion
* updating code
* adding smoke test
* updating pbt guide
* formatting
* fix build
* add best checkpoint analysis util
* update test
* add comments
* remove class api
* fix example
* add setup and teardown to tests
* formatting
* Update python/ray/tune/tests/test_trial_scheduler_pbt.py
Co-authored-by: Kai Fricke <kai@anyscale.com>
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
* Add `log_to_file` parameter, pass to Trainable config, redirect stdout/stderr.
* Add logging handler to root ray logger
* Added test for `log_to_file` parameter
* Added logs, reuse test
* Revert debug change
* Update logdir on reset, flush streams after each train() step
* Remove magic keys from visible config
Co-authored-by: Kai Fricke <kai@anyscale.com>
* Added XGBoost tutorial and template
* XGBoost tutorial: Cut some clutter
* Apply suggestions from code review
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
* Added XGboost logo
* Fixed further references
Co-authored-by: Kai Fricke <kai@anyscale.com>
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
