- 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. |
||
|---|---|---|
| .. | ||
| README.md | ||
| requirements.txt | ||
| train.py | ||
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.