* 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
---------
Co-authored-by: Quentin Pradet <quentin.pradet@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
---------
Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co>
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.
PyTorch models traced in version 1.13 of PyTorch cannot be evaluated in
version 1.9 or earlier. With this upgrade Eland becomes incompatible with
pre 8.7 Elasticsearch and will refuse to upload a model to the cluster.
In this scenario either upgrade Elasticsearch or use an earlier version of Eland.
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.
Elasticsearch uses v1.11 of PyTorch. Models created with the latest PyTorch
release (v1.12) are not compatible with v1.11. This pins the PyTorch version
to 1.11 to prevent the incompatibility. The version of the Elasticsearch Python
client is now required to be >= Eland.
All users of Eland for importing NLP models should upgrade.
We added the `pytorch` module which is type checked but was not in the
noxfile as such. This change also addresses type errors that arose after
adding type checking.
