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[tune] logger refactor part 3: Add ExperimentLogger class (#11749)

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Kai Fricke
2020-11-05 08:55:38 -08:00
committed by GitHub
parent f6717b8b03
commit 603accf1c2
17 changed files with 389 additions and 95 deletions
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doc/source/tune/user-guide.rst
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@@ -635,9 +635,18 @@ These are the environment variables Ray Tune currently considers:
* **TUNE_CLUSTER_SSH_KEY**: SSH key used by the Tune driver process to connect
to remote cluster machines for checkpoint syncing. If this is not set,
``~/ray_bootstrap_key.pem`` will be used.
* **TUNE_DISABLE_AUTO_CALLBACK_LOGGERS**: Ray Tune automatically adds a CSV and
JSON logger callback if they haven't been passed. Setting this variable to
`1` disables this automatic creation. Please note that this will most likely
affect analyzing your results after the tuning run.
* **TUNE_DISABLE_AUTO_CALLBACK_SYNCER**: Ray Tune automatically adds a
Syncer callback to sync logs and checkpoints between different nodes if none
has been passed. Setting this variable to `1` disables this automatic creation.
Please note that this will most likely affect advanced scheduling algorithms
like PopulationBasedTraining.
* **TUNE_DISABLE_AUTO_INIT**: Disable automatically calling ``ray.init()`` if
not attached to a Ray session.
* **TUNE_DISABLE_DATED_SUBDIR**: Tune automatically adds a date string to experiment
* **TUNE_DISABLE_DATED_SUBDIR**: Ray Tune automatically adds a date string to experiment
directories when the name is not specified explicitly or the trainable isn't passed
as a string. Setting this environment variable to ``1`` disables adding these date strings.
* **TUNE_DISABLE_STRICT_METRIC_CHECKING**: When you report metrics to Tune via