This website requires JavaScript.
Explore
Help
Register
Sign In
gitea_admin
/
sientia-dataops-model-manager
Watch
1
Star
0
Fork
0
You've already forked sientia-dataops-model-manager
Code
Issues
Pull Requests
Actions
Packages
Projects
Releases
Wiki
Activity
Files
f5eb8d1e5b9d83c4e9c938e855aa99617f31cd37
sientia-dataops-model-manager
/
model_manager
/
utils
/
models
History
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
..
__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-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
train_model_params.py
SIENTIAPDE-1579: Switched from replace logic to validation + mapping
2026-02-18 18:57:41 -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