ray/doc/source/tune/api_docs
krfricke 06af62ba91
[tune] refactor tune search space (#10444)
* 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>
2020-09-03 09:06:13 -07:00
..
analysis.rst [docs][tune] Make search algorithm, scheduler docs better! (#8179) 2020-05-17 12:19:44 -07:00
cli.rst [tune] Reformat Sections of API Reference (#7706) 2020-03-23 12:23:21 -07:00
client.rst [tune] Reformat Sections of API Reference (#7706) 2020-03-23 12:23:21 -07:00
execution.rst [tune] Docs for tune-sklearn (#9129) 2020-07-06 15:35:10 -07:00
grid_random.rst [tune] refactor tune search space (#10444) 2020-09-03 09:06:13 -07:00
integration.rst [tune] add xgboost callbacks to integration module (#10502) 2020-09-02 11:16:09 -07:00
internals.rst [tune] Reformat Sections of API Reference (#7706) 2020-03-23 12:23:21 -07:00
logging.rst [Tune Docs] Logging doc fix (#9691) 2020-07-24 11:20:52 -07:00
overview.rst [tune] Added PyTorch Lightning callbacks to integrations (#10220) 2020-08-31 15:30:48 -07:00
reporters.rst [tune] New Doc edits, add Concepts page (#8083) 2020-04-25 18:25:56 -07:00
schedulers.rst [tune] PBT replay utility scheduler (#9953) 2020-08-07 12:41:49 -07:00
sklearn.rst [tune] Docs for tune-sklearn (#9129) 2020-07-06 15:35:10 -07:00
suggestion.rst [tune] Add OptunaSearcher wrapper around Optuna samplers (#10044) 2020-08-12 16:13:22 -07:00
trainable.rst [tune] Added PyTorch Lightning callbacks to integrations (#10220) 2020-08-31 15:30:48 -07:00