Bruno Domingues
7a0961f29d
SIENTIAPDE-1717: Remove MinIO cleanup functionality and associated components. This change streamlines the cleanup workflow to focus solely on local temporary directories, removes the ModelTrainingError exception, and updates related configurations, documentation, and tests.
2026-03-30 14:14:10 -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
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
Kou Kinoshita
8b7bd81328
SIENTIAPDE-1579: Fixed data preprocessor
2026-02-18 11:14:27 -03:00
Kou Kinoshita
a4d94dd2ff
SIENTIAPDE-1579: Added date format and convert methods
2026-02-13 18:41:46 -03:00
Kou Kinoshita
9e3585afce
SIENTIAPDE-1579: Added local and validation flags to test script
2026-02-13 17:51:17 -03:00
Bruno Domingues
44dca9b66b
SIENTIAPDE-1430: Add option to run all training test scenarios with summary reporting.
...
- Introduce --all argument to run_training_test.py to execute all available scenarios sequentially.
- Refactor single scenario execution into a run_single_scenario function for better modularity and error handling.
- Implement a print_summary function to report results for multiple scenario runs.
2025-12-18 21:46:51 -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
f3c88885ea
SIENTIAPDE-1350: Configure cleanup test script and improve test isolation. This commit configures the cleanup test script to load environment variables from a .env file and use them for Temporal connection. It also adds a fixture to clean up temporary directories created by tests, ensuring better test isolation and preventing potential conflicts. Additionally, it adds the 'uri' property to the MongoDB config.
2025-11-25 00:44:55 -03:00
Bruno Domingues
463906073e
SIENTIAPDE-1350: Refactor: Improve logging, configuration, and resource management. Includes .env updates, client initialization logging, and resource closing.
2025-11-24 23:08:29 -03:00
Bruno Domingues
53f49d7a97
SIENTIAPDE-1350: Implement file cleanup workflow and activities, including MinIO and local directory cleanup, configuration, and metrics.
2025-11-19 18:38:00 -03:00
Bruno Domingues
c7f44a2423
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
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
Bruno Domingues
5789a13023
SIENTIAPDE-1241: refactor train_model workflow due to I/O errors.
2025-10-22 15:37:56 -03:00
