ray/doc/source/tune/api_docs
Kai Fricke 236951ee4c
[tune] Introduce TrialCheckpoint class, making checkpoint down/upload easie (#20585)
This PR introduces a TrialCheckpoint class which is returned e.g. by ExperimentAnalysis.best_checkpoint. The class enables easy access to cloud storage locations (rather than just local directories before). It also comes with utilities to download, upload, and save trial checkpoints to local and cloud targets.
2021-11-22 14:16:26 +00:00
..
analysis.rst [tune] Introduce TrialCheckpoint class, making checkpoint down/upload easie (#20585) 2021-11-22 14:16:26 +00:00
cli.rst [tune] Reformat Sections of API Reference (#7706) 2020-03-23 12:23:21 -07:00
client.rst [tune] API revamp fix (#10518) 2020-09-05 15:34:53 -07:00
execution.rst [tune] make tune.with_parameters() work with the class API (#14532) 2021-03-09 09:36:17 +01:00
integration.rst [docs] Add LightGBM Tune integration to docs (#17304) 2021-07-23 21:21:13 -07:00
internals.rst [tune/docs] Add high level trial runner flow to documentation (#14468) 2021-03-08 10:35:54 +01:00
logging.rst [docs] change MLFlow to MLflow in docs (#13739) 2021-01-27 16:53:15 -08:00
overview.rst [tune] document scalability best practices (k8s, scalability thresholds) (#14566) 2021-03-25 09:54:14 +01:00
reporters.rst Fix overriden typo (#11227) 2020-10-07 19:11:07 -07:00
scalability.rst [tune] Deprecate DurableTrainable (#19880) 2021-11-08 20:56:07 +00:00
schedulers.rst Added example to user guide for cloud checkpointing (#20045) 2021-11-15 15:43:06 +00:00
search_space.rst [docs] Tune doc fixes (#19791) 2021-10-29 11:45:29 +02:00
sklearn.rst [tune] auto infer metrics (#10663) 2020-09-09 09:53:47 -07:00
stoppers.rst [tune] add more stoppers and stopper documentation (#12750) 2020-12-12 01:47:19 -08:00
suggestion.rst [docs] Fix broken links in documentation and add linkcheck to documentation (#20030) 2021-11-04 13:19:43 -07:00
trainable.rst Added example to user guide for cloud checkpointing (#20045) 2021-11-15 15:43:06 +00:00