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sientia-dataops-model-manager
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7cbb7022e5f3ba9e045096cfe03041072699b032
sientia-dataops-model-manager
/
model_manager
/
utils
/
models
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Bruno Domingues
7cbb7022e5
SIENTIAPDE-1430: Refactor DataPreprocessor date filtering, make rce_train radius optional, and introduce constants for model names.
2025-12-19 12:28:07 -03:00
..
__init__.py
SIENTIAPDE-1249: Implement data models for Model Manager and add unit tests. This commit introduces data transfer objects (DTOs) and model classes for experiment status, training parameters, and training results, along with corresponding unit tests to ensure their correct behavior.
2025-10-06 16:49:18 -03:00
experiment_status.py
SIENTIAPDE-1309: Update README with Helm instructions and refactor experiment status messages. Also, update values.yaml with new image and configurations.
2025-11-06 15:34:03 -03:00
train_model_params.py
SIENTIAPDE-1430: Refactor DataPreprocessor date filtering, make rce_train radius optional, and introduce constants for model names.
2025-12-19 12:28:07 -03:00
train_model_result.py
SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.
2025-12-18 17:05:10 -03:00