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sientia-dataops-model-manager
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6e8f87b2a3fb1966bab4855223d9780f103d491d
sientia-dataops-model-manager
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tests
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Bruno Domingues
6e8f87b2a3
SIENTIAPDE-1430: Implement advanced model training capabilities and enhanced data preprocessing. This includes support for Polynomial Regression with configurable degree and interaction terms, flexible per-variable lag configurations, and new data filtering options by date range and removed intervals. Comprehensive business validations are now enforced for all parameters, and MLflow logging has been extended to capture these detailed configurations. Additionally, Reduced Coulomb Energy (RCE) metrics are added for drift detection, with a new changelog documenting all pipeline parameter updates.
2025-12-17 21:39:43 -03:00
..
activities
SIENTIAPDE-1350: Implement scheduled cleanup workflow using Temporal schedules. Adds schedule creation to worker startup and configures environment variables.
2025-11-25 18:12:53 -03:00
schedules
SIENTIAPDE-1350: Integrate cleanup workflow and update default task queue names.
2025-11-26 22:11:20 -03:00
sientia
SIENTIAPDE-1430: Implement advanced model training capabilities and enhanced data preprocessing. This includes support for Polynomial Regression with configurable degree and interaction terms, flexible per-variable lag configurations, and new data filtering options by date range and removed intervals. Comprehensive business validations are now enforced for all parameters, and MLflow logging has been extended to capture these detailed configurations. Additionally, Reduced Coulomb Energy (RCE) metrics are added for drift detection, with a new changelog documenting all pipeline parameter updates.
2025-12-17 21:39:43 -03:00
utils
SIENTIAPDE-1430: Implement advanced model training capabilities and enhanced data preprocessing. This includes support for Polynomial Regression with configurable degree and interaction terms, flexible per-variable lag configurations, and new data filtering options by date range and removed intervals. Comprehensive business validations are now enforced for all parameters, and MLflow logging has been extended to capture these detailed configurations. Additionally, Reduced Coulomb Energy (RCE) metrics are added for drift detection, with a new changelog documenting all pipeline parameter updates.
2025-12-17 21:39:43 -03:00
worker
SIENTIAPDE-1350: Improve Docker image build context and fix queue names
2025-11-26 17:52:44 -03:00
workflows
SIENTIAPDE-1350: Add unit tests for the CleanupFiles workflow, covering both input bucket and default bucket scenarios.
2025-11-25 16:44:51 -03:00
__init__.py
SIENTIAPDE-1243: Initial commit of the model manager project, adding core files and configurations.
2025-09-30 14:55:38 -03:00
test_metrics.py
SIENTIAPDE-1241: Fixed formatting and linted code
2025-10-30 10:38:29 -03:00