Commit graph

5 commits

Author SHA1 Message Date
Amog Kamsetty
e8440cf52b
[AIR] Incremental Learning Example (#24420)
Example for domain incremental learning on Permuted MNIST Dataset with naive strategy
2022-05-26 12:28:28 -07:00
Kai Fricke
e76efffec6
[air/docs] Move RL examples to docs (#24962)
Following #24959, this PR moves the RL examples (online/offline/serving) into the Ray ML docs. It also splits the online and offline parts.
2022-05-20 14:55:01 +01:00
Antoni Baum
1d5e6d908d
[AIR] HuggingFace Text Classification example (#24402) 2022-05-18 09:35:12 -07:00
Antoni Baum
c74886a55e
[CI] Run doc notebooks in CI (#24816)
Currently, we are not running doc notebooks in CI due to a bazel misconfiguration - we are using `glob` in a top level package in order to get the paths for the notebooks, but those are contained inside subpackages, which glob purposefully ignores. Therefore, the lists of notebooks to run are empty. This PR fixes that by:
* Running the `py_test_run_all_notebooks` macro inside the relevant subpackages
* Editing the `test_myst_doc.py` script to allow for recursive search for the target file, allowing to deal with mismatches between `name` and `data` arguments in `py_test_run_all_notebooks`
* Setting the `allow_empty=False` flag inside `glob` calls in our macros to ensure that this oversight is caught early
* Enabling detection of changes in doc folder for `*.ipynb` and `BUILD` files

This PR also adds a GPU runner for doc tests, allowing one of our examples to pass - and setting the infra for more to come. Finally, a misconfigured path for one set of doc tests is also fixed.
2022-05-17 09:50:42 +01:00
Kai Fricke
a92ce9721c
[air] Example to run tuning and analyze results (#24602)
This is a notebook showing how to tune an xgboost model and analyze the results.

Also adds a `get_dataframe()` method to `ResultsGrid` to fetch the trial results.

Depends on #24483 for toctree.
2022-05-13 15:22:36 +01:00