- 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. |
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| .. | ||
| README.md | ||
| requirements.txt | ||
| train.py | ||
Scikit-learn Experiment
Random Forest classification project using scikit-learn.
Usage
python train.py --n_estimators 100 --output_dir ./results
Results
Results are saved in JSON format with accuracy and model metrics.