* Update instructions to run ML tests with Elasticsearch
* Update CONTRIBUTING.md
Co-authored-by: David Kyle <david.kyle@elastic.co>
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Co-authored-by: David Kyle <david.kyle@elastic.co>
* Revert "[ML] Export ML model as sklearn Pipeline (#509)"
This reverts commit 0576114a1d886eafabca3191743a9bea9dc20b1a.
* Keep useful changes
* formatting
* Remove obsolete test matrix configuration and update version references in documentation and Noxfile
* formatting
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Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co>
This PR adds an ability to estimate per deployment and per allocation memory usage of NLP transformer models. It uses torch.profiler and performs logs the peak memory usage during the inference.
This information is then used in Elasticsearch to provision models with sufficient memory (elastic/elasticsearch#98874).
Closes#503
Note: I also had to fix the Sphinx version to 5.3.0 since, starting from 6.0, Sphinx suffers from a TypeError bug, which causes a CI failure.
* Fix bugs with field mapping:
1. If no permission to call _mapping, return readable error
2. If index is wildcard, fix issues with user warnings
* Fixing lint issues
* Removing trailing backslashes in doc
* Remove pandas/matplotlib deprecation warning
This warning is due to a conflict between
pandas/matplotlib that may be resolved in a later
version. For now, ignore the warning so CI works.
