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Prep for release.
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CHANGELOG.md

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**Improvements**
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- Refactor `tasks.py` to utilize `sasctl.pzmm` functions.
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- Add `model_info` class to better capture model information.
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- Test `/examples` Jupyter notebooks within normal test suite.
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v1.9.4 (2023-06-15)
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----------
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**Improvements**
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- Created pytest fixture to begin running Jupyter notebooks within the GitHub automated test actions.
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- Updated examples:
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- Custom KPI and model parameters example now checks for the performance job's status.
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- Update H2O example to show model being published and scored using the "maslocal" destination.
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- Updated models to be more realistic for `pzmm_binary_classification_model_import.ipynb`.
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**Bugfixes**
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- Adjust `pzmm.ScoreCode.write_score_code()` function to be compatible with future versions of pandas.
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- Reworked H2O section of `pzmm.ScoreCode.write_score_code()` to properly call H2OFrame values.
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- Fixed call to `pzmm.JSONFiles.calculate_model_statistics()` in `pzmm_binary_classification_model_import.ipynb`.
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v1.9.3 (2023-06-08)
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src/sasctl/__init__.py

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# Copyright © 2019, SAS Institute Inc., Cary, NC, USA. All Rights Reserved.
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# SPDX-License-Identifier: Apache-2.0
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__version__ = "1.9.3"
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__version__ = "1.9.4"
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__author__ = "SAS"
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__credits__ = [
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"Yi Jian Ching",

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