vitor-aignosi
0ae03b246f
feat: update environment configuration and remove deprecated model serving
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- Modified `.env.example` to set local defaults for PostgreSQL, MLflow, and MinIO configurations.
- Added MongoDB configuration parameters to the environment setup.
- Updated `README.md` to reflect changes in workflow input parameters and task queue naming conventions.
- Removed the `ModelServing` class to streamline the codebase, as it was deemed unnecessary.
- Adjusted `connectors_config.py` to align with new environment variable names and improve clarity.
- Updated tests to reflect changes in configuration handling and removed tests related to the deleted `ModelServing` class.
2026-04-07 16:58:50 -03:00
vitor-aignosi
342a02d6f7
feat: enhance training workflow with model metadata loading and refactor data handling
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- Introduced a new activity to load model metadata from the model store.
- Refactored training logic to utilize new model metadata and improved parameter handling.
- Updated the `TrainModelParams` class to include additional fields for model configuration.
- Replaced deprecated utility functions with a custom train-test split implementation.
- Removed unused utility functions and cleaned up the data manager repository.
- Adjusted experiment tracking to include model-specific metadata in notifications.
2026-03-24 14:39:28 -03:00
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
43cbc31e10
SIENTIAPDE-1579: Lint fixes and formatting
2026-02-18 17:31:58 -03:00
Kou Kinoshita
8b7bd81328
SIENTIAPDE-1579: Fixed data preprocessor
2026-02-18 11:14:27 -03:00
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
Bruno Domingues
38fb9a9c53
SIENTIAPDE-1430: Remove verbose options and direct print statements from model, preprocessor, and report utilities.
2025-12-18 21:09:12 -03:00
Bruno Domingues
70067fd992
SIENTIAPDE-1430: Improve test coverage for LinearRegressionModel and DataPreprocessor. Added extensive new tests covering various methods, edge cases, and scenarios to enhance overall code coverage.
2025-12-18 18:41:03 -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
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
Bruno Domingues
758ffb10b6
SIENTIAPDE-1241: Fix: Correctly handle feature normalization and denormalization, and add scaler parameters to metadata
2025-10-22 21:26:11 -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
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
Bruno Domingues
52be5c4e8e
SIENTIAPDE-1255: Improve documentation for split_train_test function in utils.py
2025-10-20 17:41:05 -03:00
Bruno Domingues
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
Bruno Domingues
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
Bruno Domingues
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
Bruno Domingues
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
