Kou-Kinoshita
25ad4729f7
SIENTIAPDE-1321: Formatted files
2025-10-29 10:24:25 -03:00
Kou-Kinoshita
734221e32d
SIENTIAPDE-1321: Updated tests
2025-10-27 19:45:47 -03:00
Kou-Kinoshita
a80d65d7ba
SIENTIAPDE-1321: Added equation related methods
2025-10-24 08:03:27 -03:00
7826e68954
SIENTIAPDE-1241: Add unit tests for ModelRepository with 100% coverage.
2025-10-23 15:09:40 -03:00
0a33bb86ed
SIENTIAPDE-1241: Add unit tests for TrainModelParams model with 100% coverage.
2025-10-23 11:18:19 -03:00
2262dcf4a0
SIENTIAPDE-1241: Add unit tests for logger_helper module.
2025-10-23 09:15:09 -03:00
a66c5abdfd
SIENTIAPDE-1241: Add unit tests for custom exceptions in tests/utils/test_exceptions.py
2025-10-23 00:30:48 -03:00
3fe139763a
SIENTIAPDE-1241: Add unit tests for the Training activity with 100% coverage.
2025-10-23 00:25:25 -03:00
a6f1563036
SIENTIAPDE-1241: Add unit tests for ExperimentTracking class with 100% coverage.
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This commit introduces a new test file tests/activities/test_experiment_tracking.py containing comprehensive unit tests for the ExperimentTracking class, achieving 100% test coverage. The tests cover initialization, deletion, execution of updates, and various scenarios for updating experiment run status, including error handling and edge cases.
2025-10-23 00:18:14 -03:00
fc2fe33b59
SIENTIAPDE-1241: Add unit tests for Activities class and enhance validation script with fix and test options
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This commit introduces a new test suite for the Activities class, achieving 100% coverage. Additionally, the validation script (validate.sh) is enhanced with new options:
- --fix: Automatically fixes code formatting and linting issues using Ruff.
- --only-tests: Runs only the unit tests, skipping other validation steps.
The validation script now also supports skipping tests and provides more informative output.
2025-10-22 23:38:01 -03:00
f07bc8ff30
SIENTIAPDE-1241: Refactor: Remove redundant logging and fix duplicate logs
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This commit removes redundant logging statements from training and experiment tracking activities, preventing duplicate log entries. It also introduces a logger helper to disable log propagation, further addressing the duplicate logs issue. Additionally, the Makefile, run_coverage.sh, setup_port_forwards.sh, and simulator/Dockerfile files were removed as they are no longer needed.
2025-10-22 22:39:26 -03:00
ac97092ebf
SIENTIAPDE-1241: Remove unused metadata fields and update todo list.
2025-10-22 21:51:29 -03:00
94697215aa
SIENTIAPDE-1241: Refactor: Improve documentation, exception handling, and configuration in model manager. This commit enhances clarity and robustness by adding detailed docstrings to methods, standardizing exception handling with custom types, and simplifying MLflow configuration.
2025-10-22 21:48:12 -03:00
758ffb10b6
SIENTIAPDE-1241: Fix: Correctly handle feature normalization and denormalization, and add scaler parameters to metadata
2025-10-22 21:26:11 -03:00
42a7e82c82
SIENTIAPDE-1241: Suppress sklearn FutureWarning regarding 'squared' deprecation.
2025-10-22 18:28:13 -03:00
5789a13023
SIENTIAPDE-1241: refactor train_model workflow due to I/O errors.
2025-10-22 15:37:56 -03:00
Bruno Domingues
f2a1c88ff3
Merge pull request #8 from Aignosi/feature/SIENTIAPDE-1255
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SIENTIAPDE-1255: Refactor Model Manager for Training Pipeline, Integrate Sientia MLOps Library, and Add Unit Tests
2025-10-21 09:42:17 -03:00
ab7c93480b
SIENTIAPDE-1255: Refactor: Move extra pip requirements to environment variable and use constants for preprocessor steps.
2025-10-21 09:20:23 -03:00
4686b438db
SIENTIAPDE-1255: Update quality gate workflow: Remove redundant repository and disk space cleanup, update cache key.
2025-10-20 22:35:20 -03:00
3e52253a98
SIENTIAPDE-1255: Add tests to ensure get_required_columns removes columns from self_operations and cross_operations.
2025-10-20 22:27:58 -03:00
614eb0cb7f
SIENTIAPDE-1255: Add unit tests for utils.split_train_test function
2025-10-20 22:22:38 -03:00
089f312575
SIENTIAPDE-1255: Add unit tests for the reports module
2025-10-20 22:20:26 -03:00
0de2ece063
SIENTIAPDE-1255: Add unit tests for sientia models (DataPreprocessor and LinearRegressionModel)
2025-10-20 20:59:55 -03:00
3c09e59f6a
SIENTIAPDE-1255: Add unit tests for the ModelServing class.
2025-10-20 20:24:50 -03:00
b1fe62f68b
SIENTIAPDE-1255: Add unit tests for sientia metrics module (MAE, MSE, R2)
2025-10-20 20:13:08 -03:00
b3e4bb8660
SIENTIAPDE-1255: Add comprehensive tests for __del__ methods in Activities and ExperimentTracking to ensure proper resource cleanup and exception handling.
2025-10-20 20:09:49 -03:00
4a32d712ba
SIENTIAPDE-1255: Implement object destructors for Activities and ExperimentTracking to prevent AttributeError during garbage collection, and mock workflow logger in tests to avoid RuntimeWarning.
2025-10-20 17:53:49 -03:00
52be5c4e8e
SIENTIAPDE-1255: Improve documentation for split_train_test function in utils.py
2025-10-20 17:41:05 -03:00
0dbe179367
SIENTIAPDE-1255: Add thread-safety documentation and I/O notes to Reports class, improve save_all_sections documentation and error handling.
2025-10-20 17:38:44 -03:00
2292ae57cc
SIENTIAPDE-1255: Add thread-safety documentation and in-place modification warnings to LinearRegressionModel and DataPreprocessor classes.
2025-10-20 17:27:58 -03:00
56f3db350c
SIENTIAPDE-1255: Refactor ModelServing class to improve thread safety, resource management, and documentation. Adds context manager for experiment saving and clarifies thread-safety concerns.
2025-10-20 17:16:45 -03:00
56a21a16da
SIENTIAPDE-1255: Integrate sientia-mlops-library into model-manager, adding model serving, reporting, and updated model definitions.
2025-10-20 16:55:52 -03:00
9e31ab679b
SIENTIAPDE-1255: Implement MLFlow artifact management and model persistence
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This commit introduces a new model_repository.py to handle MLFlow artifact generation and model persistence. It also updates the README to reflect this change and modifies training_repository.py to separate training and MLFlow operations.
2025-10-17 09:11:54 -03:00
a66b996cc1
SIENTIAPDE-1255: Refactor MLFlow activities for training operations and update metrics
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This commit refactors the MLFlow activities to focus on model training rather than prediction operations. It removes prediction-related activities and metrics, and updates the MLFlow activity descriptions to reflect the change in focus. The README is also updated to reflect these changes.
2025-10-17 00:51:29 -03:00
85a8ba1e68
SIENTIAPDE-1255: Refactor data quality gates to training focused metrics and repositories. This commit removes the data quality gates and filters, focusing on training-specific metrics and data repositories. It also updates the README to reflect these changes, including new training metrics and a streamlined data services section.
2025-10-17 00:39:06 -03:00
e191e7849f
SIENTIAPDE-1255: Refactor Model Manager to focus on ML model training pipeline and simplify architecture. This includes removing prediction workflows, updating core functionality, and improving parameter validation and resource management.
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README.md | 411 deletions(-) 117 insertions(+)
1 file changed, 117 insertions(+), 411 deletions(-)
2025-10-16 18:26:56 -03:00
7abd951806
SIENTIAPDE-1255: Refactor worker to support only the train_model-queue and remove prediction workflows.
2025-10-16 18:15:52 -03:00
8f1cc21bb1
SIENTIAPDE-1255: Add port forwarding setup script and documentation to README.md
2025-10-16 18:00:28 -03:00
Bruno Domingues
9ee12373b4
Merge pull request #7 from Aignosi/feature/SIENTIAPDE-1253
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SIENTIAPDE-1253: Improve Train Model Workflow with Enhanced Error Handling, Validation, and Cleanup
2025-10-15 17:04:49 -03:00
4ff796a56f
SIENTIAPDE-1253: Update README.md to include documentation for the Train Model workflow and renumber the Minimal Retrain workflow. (+101, -1)
2025-10-15 16:35:13 -03:00
98c216733b
SIENTIAPDE-1253: Enhance error logging in train_model workflow with rich context for debugging.
2025-10-15 16:19:15 -03:00
305a39b44c
SIENTIAPDE-1253: Implement business rule validation for training parameters. Adds a validate_business_rules method to the TrainModelParams class to enforce constraints on training parameters, improving data integrity and preventing errors. Also updates tests to include target variable in variable columns and adds tests for business rule validations.
2025-10-15 16:16:09 -03:00
4b28d5f1c8
SIENTIAPDE-1253: Implement granular retry policies for activities in train_model workflow.
2025-10-15 16:06:13 -03:00
780184769d
SIENTIAPDE-1253: Expose workflow activity timeouts as environment variables and document them.
2025-10-15 16:03:01 -03:00
1ec40bfb2a
SIENTIAPDE-1253: Implement activity for cleaning up temporary run directory and integrate into train model workflow. This change introduces a new activity for idempotent cleanup of the run directory after model training, replacing the direct directory removal in the workflow. This improves determinism and error handling. Also includes unit tests for the new activity.
2025-10-15 15:49:05 -03:00
8ea98360c3
SIENTIAPDE-1253: Refactor training workflow and activities to raise exceptions on failure
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This commit refactors the training workflow and associated activities to raise exceptions on failure instead of returning success/failure dictionaries. This allows the Temporal workflow to handle errors more effectively and ensures that the workflow stops when a critical error occurs.
Key changes:
- The train_model workflow is introduced to orchestrate the entire training process, including parameter validation, data download, model training, and model saving.
- The validate_train_params activity is added to validate and convert training parameters.
- The train_model and save_model activities are updated to raise exceptions on failure.
- The ExperimentStatus enum is updated to include a new status for orchestrator validation errors.
- The tests are updated to reflect the new exception-based error handling.
- The activities now return the TrainModelResult directly instead of a dictionary.
2025-10-15 15:19:29 -03:00
61267ec49d
SIENTIAPDE-1253: Enforce TrainModelParams object in Training activity and tests, removing dict conversion.
2025-10-14 10:03:34 -03:00
Bruno Domingues
014e1cd910
Merge pull request #6 from Aignosi/feature/SIENTIAPDE-1252
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SIENTIAPDE-1252: Implement Model Saving to MLflow and Artifact Logging
2025-10-13 14:44:39 -03:00
9d4ec19586
SIENTIAPDE-1252: Improve caching in quality gate, add alt text to logo, and change exception type in MLflow repository.
2025-10-13 10:54:38 -03:00
b3c749872c
SIENTIAPDE-1252: Implement save_model activity to save trained models to MLflow with comprehensive error handling and add corresponding unit tests.
2025-10-13 10:18:45 -03:00
