* 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>
(cherry picked from commit 00dc55b3bdc843c2fb1f6faf3f17da9bcb4ab642)
Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co>
PyTorch 2.3.1 does support Python 3.12.
(cherry picked from commit 4728d9b648bc1912db9bd96c5e0dd0113e417169)
Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co>
* Support Pandas 2 (#742)
* Fix test setup to match pandas 2.0 demands
* Use the now deprecated _append method
(Better solution might exist)
* Deal with numeric_only being removed in metrics test
* Skip mad metric for other pandas versions
* Account for differences between pandas versions in describe methods
* Run black
* Check Pandas version first
* Mirror behaviour of installed Pandas version when running value_counts
* Allow passing arguments to the individual asserters
* Fix for method _construct_axes_from_arguments no longer existing
* Skip mad metric if it does not exist
* Account for pandas 2.0 timestamp default behaviour
* Deal with empty vs other inferred data types
* Account for default datetime precision change
* Run Black
* Solution for differences in inferred_type only
* Fix csv and json issues
* Skip two doctests
* Passing a set as indexer is no longer allowed
* Don't validate output where it differs between Pandas versions in the environment
* Update test matrix and packaging metadata
* Update version of Python in the docs
* Update Python version in demo notebook
* Match noxfile
* Symmetry
* Fix trailing comma in JSON
* Revert some changes in setup.py to fix building the documentation
* Revert "Revert some changes in setup.py to fix building the documentation"
This reverts commit ea9879753129d8d8390b3cbbce57155a8b4fb346.
* Use PANDAS_VERSION from eland.common
* Still skip the doctest, but make the output pandas 2 instead of 1
* Still skip doctest, but switch to pandas 2 output
* Prepare for pandas 3
* Reference the right column
* Ignore output in tests but switch to pandas 2 output
* Add line comment about NBVAL_IGNORE_OUTPUT
* Restore missing line and add stderr cell
* Use non-private method instead
* Fix indentation and parameter issues
* If index is not specified, and pandas 1 is present, set it to True
From pandas 2 and upwards, index is set to None by default
* Run black
* Newer version of black might have different opinions?
* Add line comment
* Remove unused import
* Add reason for ignore statement
* Add reason for skip
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Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co>
(cherry picked from commit 75c57b077532c459a9490613cbf7b37215c27fae)
* Return input_field_names as list as required by Pandas 2
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Co-authored-by: Bart Broere <mail@bartbroere.eu>
Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co>
Introduce a warning indicating that exporting data frame analytics models as ESGradientBoostingModel subclasses is deprecated and will be removed in version 9.0.0.
The implementation of ESGradientBoostingModel relies on importing undocumented private classes that were changed in 1.4 to https://github.com/scikit-learn/scikit-learn/pull/26278. This dependency makes the code difficult to maintain, while the functionality is not widely used by users. Therefore, we will deprecate this functionality in 8.16 and remove it completely in 9.0.0.
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Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co>
The config/certs directory of Elasticsearch is not readable by other
users and groups. This work in the public image, which uses the root
user, but the Wolfi image does not. Using the same user id fixes the
problem.
* Fix Docker image build on Linux
* Build Docker images in CI
* Fix bash syntax
* Only load, not push
* Parallelize docker build
It's currently the slowest step.
* Only build Linux images
Upgrades the PyTorch, transformers and sentence transformer requirements.
Elasticsearch has upgraded to PyTorch to 2.3.1 in 8.16 and 8.15.2. For
compatibility reasons Eland will refuse to upload to an Elasticsearch cluster
that has is using an earlier version of PyTorch.
