fetch_ml/tests/fixtures/examples/xgboost_project
Jeremie Fraeys c980167041 test: implement comprehensive test suite with multiple test types
- Add end-to-end tests for complete workflow validation
- Include integration tests for API and database interactions
- Add unit tests for all major components and utilities
- Include performance tests for payload handling
- Add CLI API integration tests
- Include Podman container integration tests
- Add WebSocket and queue execution tests
- Include shell script tests for setup validation

Provides comprehensive test coverage ensuring platform reliability
and functionality across all components and interactions.
2025-12-04 16:55:13 -05:00
..
README.md test: implement comprehensive test suite with multiple test types 2025-12-04 16:55:13 -05:00
requirements.txt test: implement comprehensive test suite with multiple test types 2025-12-04 16:55:13 -05:00
train.py test: implement comprehensive test suite with multiple test types 2025-12-04 16:55:13 -05:00

XGBoost Experiment

Gradient boosting experiment using XGBoost for binary classification.

Usage

python train.py --n_estimators 100 --max_depth 6 --learning_rate 0.1 --output_dir ./results

Results

Results are saved in JSON format with accuracy metrics and XGBoost model file.