Bruno Domingues
41c4490cad
SIENTIAPDE-1579: Fix SientiaMlException propagation in ModelServing.search_runs_by_name to correctly raise the exception with its message, resolving a TypeError. Enhance training test script to support scenario-specific CSV files for different test cases. Update search_runs_by_name return type hint and apply minor code formatting.
2026-02-19 21:13:41 -03:00
Kou Kinoshita
14f3fbadbe
SIENTIAPDE-1579: Switched from replace logic to validation + mapping
2026-02-18 18:57:41 -03:00
Kou Kinoshita
5dab1ee576
SIENTIAPDE-1579?: removed duplicated method
2026-02-18 18:18:39 -03:00
Kou Kinoshita
a7922ac3ce
SIENTIAPDE-1579: Lint fix
2026-02-18 17:50:58 -03:00
Kou Kinoshita
665870320f
SIENTIAPDE-1579: Updated tests and refactored apply filters method
2026-02-18 17:44:46 -03:00
Kou Kinoshita
43cbc31e10
SIENTIAPDE-1579: Lint fixes and formatting
2026-02-18 17:31:58 -03:00
Kou Kinoshita
c6d6f94e05
SIENTIAPDE-1579: Updated tests
2026-02-18 15:05:37 -03:00
Bruno Domingues
df6bf1daba
SIENTIAPDE-1430: Refactor static threshold calculation logic and enhance test coverage
2025-12-19 16:19:10 -03:00
Bruno Domingues
06571011f2
SIENTIAPDE-1430: Introduce static_threshold parameter for static window removal.
...
This parameter allows customizing the threshold (1-1000) used when rem_static_win is enabled, defaulting to 1 if null.
Updates include parameter definition, business rule validation, repository logic for passing the threshold, documentation in README.md and PIPELINE_PARAMS_CHANGELOG.md, and new unit and integration tests.
2025-12-19 15:44:18 -03:00
Bruno Domingues
13941fc3f7
SIENTIAPDE-1430: Add unit tests for _configure_datetime_index (handling various datetime column formats), _init_data_preprocessor (with removed intervals), and _extract_model_equation (supporting polynomial features) in TrainingRepository.
2025-12-18 18:58:12 -03:00
Bruno Domingues
06fd08dc70
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
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
Bruno Domingues
5b14f1016b
SIENTIAPDE-1241: Suppress PytestUnraisableExceptionWarning and update test data in training repository tests.
2025-10-30 15:22:59 -03:00
Kou-Kinoshita
a5c0cb6e47
SIENTIAPDE-1241: Fixed formatting and linted code
2025-10-30 10:38:29 -03:00
Kou-Kinoshita
17a551d6f9
SIENTIAPDE-1241: Added remaining training repository tests
2025-10-30 10:29:51 -03:00
Kou-Kinoshita
1f6765dc86
SIENTIAPDE-1241: Linted files
2025-10-29 11:57:40 -03:00
Kou-Kinoshita
5e763a8a64
SIENTIAPDE-1241: Formatted files
2025-10-29 11:55:03 -03:00
Kou-Kinoshita
61364671db
SIENTIAPDE-1241: Added remaining trainig_repository tests and some model_repository tests
2025-10-29 11:41:36 -03:00
Kou-Kinoshita
4fdefd8263
SIENTIAPDE-1241: Added training repository tests
2025-10-29 11:32:24 -03:00
Bruno Domingues
5789a13023
SIENTIAPDE-1241: refactor train_model workflow due to I/O errors.
2025-10-22 15:37:56 -03:00
Bruno Domingues
94e11df803
SIENTIAPDE-1252: Remove experiment_description from TrainModelParams and related tests.
2025-10-09 17:48:43 -03:00
Bruno Domingues
bee6036205
SIENTIAPDE-1251: Implement ML model training activity and repository
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This commit introduces the 'Training' activity and 'TrainingRepository' for handling ML model training operations within the Model Manager system.
- Added model_manager/activities/training.py for the Training activity, which extends BaseActivity and integrates with Temporal workflows.
- Added model_manager/utils/repository/training_repository.py for the TrainingRepository, which encapsulates the core training logic.
- Updated model_manager/activities/activities.py to include the Training activity in the main activities orchestrator.
- Updated README.md to document the new 'Training' component.
- Added unit tests for the new activity and repository.
2025-10-09 15:07:27 -03:00
