Changelog
=========

v1.2 (2025-10-17)
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* Ignore single posting transactions for training to address #149


v1.1 (2025-05-25)
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* Forward name of the actual importer when wrapping, fixes #143 by @tarioch in #145
* Training pipeline specifically for each importer result and filter ba… by @tarioch in #146


v1.0 (2025-05-23)
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Drop legacy way to hook and either use a wrap() method to wrap an importer or depend on standard beangulp hook functionality.

For migration, please see the new way to either hook it in as a beangulp hook or by using the wrap method.



v0.6 (2025-01-06)
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Upgrade to Beancount v3 and beangulp.


v0.5 (2024-01-21)
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* Sort posting accounts in PredictPostings
* Drop support of Python 3.7 which has reached EOL
* CI: add tests for Python 3.11 and 3.12


v0.4 (2022-12-16)
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* Allow specification of custom string tokenizer, e.g., for Chinese
* Fix: Allow prediction if there is just a single target in training data
* Documentation and logging improvements
* Drop support of Python 3.6 which has reached EOL


v0.3 (2021-02-20)
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Removes the "suggestions" feature, fixes ci publishing to pypi.

* Removes suggestions. WARNING! - this can break existing configurations that use `suggest=True`.
* Fixes CI: splits the test and publish ci jobs, to avoid redundant attempts at publishing the package.


v0.2 (2021-02-20)
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Various improvements and fixes.

* Better predictions: Do not predict closed accounts
* Improved stability: do not fail if no transactions are imported
* Better support for custom machine learning pipelines: allows dot access to txn metadata
* Improved CI: added github and sourcehut ci, removed travis
* Improved CI: pushing a tag will automatically publish the package on pypi
* Improved CI: tests with multiple python versions using github ci's build matrix
* Improved documentation: many improvements in the README file


v0.1 (2018-12-25)
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First release to PyPI.
