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sientia-dataops-model-manager
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fix/SIENTIAPDE-2072
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sientia-dataops-model-manager
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model_manager
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activities
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Bruno Domingues
e3e1c712a8
SIENTIAPDE-1645: Refactor temporary directory cleanup activity by extracting processing and deletion logic into dedicated helper methods. Update train_test_split to use a local numpy.random generator for improved reproducibility. Remove an unnecessary else: pass block.
2026-08-05 12:10:54 -03:00
..
__init__.py
SIENTIAPDE-1243: Refactor: Rename 'laborious' package to 'model_manager'
2025-10-01 14:29:24 -03:00
activities.py
chore: update configuration and imports for improved functionality
2026-04-13 14:57:06 -03:00
cleanup.py
SIENTIAPDE-1645: Refactor temporary directory cleanup activity by extracting processing and deletion logic into dedicated helper methods. Update train_test_split to use a local numpy.random generator for improved reproducibility. Remove an unnecessary else: pass block.
2026-08-05 12:10:54 -03:00
experiment_tracking.py
chore: update configuration and imports for improved functionality
2026-04-13 14:57:06 -03:00
training.py
SIENTIAPDE-1645: Expose detailed model training information via a new Prometheus gauge. This gauge, sientia_training_info, records metadata such as dataset sizes, feature count, and evaluation metrics (MSE, MAE, R2) along with the training run's timestamp.
2026-06-18 09:56:30 -03:00