Update requirements and enhance metrics and data handling - Updated the sientia-dataops-library dependency version in requirements.txt to 1.5.3. - Added new metrics for model analysis, including lag, count, and error count in metrics.py. - Implemented a new method for formatting transformed data in gates.py. - Enhanced MLFlowRepository with methods to load artifact dataframes and calculate model metrics, including drift and performance metrics. - Updated the prediction process to handle transformed data and ensure proper execution of related activities in format_and_export_prediction.py and prediction_process.py.
15 lines
252 B
Plaintext
15 lines
252 B
Plaintext
temporalio
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psycopg2-binary
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sqlalchemy
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asyncua
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redis
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git+ssh://git@github.com/Aignosi/sientia-dataops-library.git@1.5.3
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git+ssh://git@github.com/Aignosi/sientia-mlops-library.git@0.39.0
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prometheus-client
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botocore
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boto3
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s3fs
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pyarrow
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kaleido
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hyperopt
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shap |