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+ v1.10.7 (2024-10-02)
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+ --------------------
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+ ** Bugfixes**
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+ - Fixed a bug that caused an error when performing SSL verification without a CA bundle specified.
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+
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v1.10.6 (2024-08-26)
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- ----------
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+ --------------------
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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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v1.10.5 (2024-08-01)
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- ----------
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+ --------------------
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** Buxfixes**
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- Updated ` write_json_files.py ` to allow for better support for prediction models
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- Fixed issues relating to model card support.
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v1.10.4 (2024-07-08)
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- ----------
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+ --------------------
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** Improvements**
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- Added example Jupyter notebook for OpenAI models.
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@@ -21,13 +26,13 @@ v1.10.4 (2024-07-08)
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- Updated generation of ` ModelProperties.json ` to allow for model card generation immediately upon upload.
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v1.10.3 (2024-04-12)
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- ----------
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+ --------------------
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** Bugfixes**
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- Updated all examples to use current versions of sasctl functions
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- Fixed bug in ` generate_model_card ` that threw an error when trying to generate the ` dmcas_misc.json ` file
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v1.10.2 (2024-04-10)
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- ----------
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+ --------------------
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** Improvements**
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- Introduced ` generate_model_card ` into ` write_json_files.py ` to allow for python models to work with planned model card tab in SAS Model Manager.
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@@ -38,7 +43,7 @@ v1.10.2 (2024-04-10)
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- Added missing statistics to ` dmcas_fitstat.json ` file.
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v1.10.1 (2023-08-24)
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- ----------
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+ --------------------
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** Improvements**
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- Introduced ability to specify the target index of a binary model when creating score code.
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- index can be specified in ` pzmm.import_model.ImportModel.import_model() `
@@ -49,7 +54,7 @@ v1.10.1 (2023-08-24)
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- Added template files for ` assess_model_bias.py ` to allow for proper execution
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v1.10 (2023-08-31)
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- ----------
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+ ------------------
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** Improvements**
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- ` write_score_code.py ` refactored to include ability to run batch scoring.
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- Added handling for TensorFlow Keras models.
@@ -62,7 +67,7 @@ v1.10 (2023-08-31)
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- Updated ` pzmm_custom_kpi_model_parameters ` notebook to have correct parameter casing.
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v1.9.4 (2023-06-15)
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- ----------
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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:
@@ -76,7 +81,7 @@ v1.9.4 (2023-06-15)
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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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- ----------
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+ -------------------
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** Improvements**
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- Refactored gitIntegration.py to ` git_integration.py ` and added unit tests for better test coverage.
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@@ -89,7 +94,7 @@ v1.9.3 (2023-06-08)
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- Fixed issue with ` services.model_publish.list_models ` , which was using an older API format that is not valid in SAS Viya 3.5 or SAS Viya 4.
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v1.9.2 (2023-05-17)
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- ----------
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+ -------------------
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** Improvements**
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- Add recursive folder creation and an example.
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- Add example for migrating models from SAS Viya 3.5 to SAS Viya 4.
@@ -101,7 +106,7 @@ v1.9.2 (2023-05-17)
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- Fix minor errors in h2o score code generation
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v1.9.1 (2023-05-04)
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- ----------
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+ -------------------
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** Improvements**
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- Updated handling of H2O models in ` sasctl.pzmm ` .
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- Models are now saved with the appropriate ` h2o ` functions within the ` sasctl.pzmm.PickleModel.pickle_trained_model ` function.
@@ -113,7 +118,7 @@ v1.9.1 (2023-05-04)
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- Added NpEncoder class to check for numpy values in JSON files. Numpy-types cannot be used in SAS Viya.
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v1.9.0 (2023-04-04)
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- ----------
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+ -------------------
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** Improvements**
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- ` sasctl.pzmm ` refactored to follow PEP8 standards, include type hinting, and major expansion of code coverage.
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- ` sasctl.pzmm ` functions that can generate files can now run in-memory instead of writing to disk.
@@ -141,7 +146,7 @@ v1.8.2 (2023-01-30)
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- Better handling for invalid project versions included.
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v1.8.1 (2023-01-19)
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- ----------
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+ -------------------
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** Changes**
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- Adjusted workflow for code coverage reporting. Prepped to add components in next release.
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- Added ` generate_requirements_json.ipynb ` example.
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