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fetch_ml/tests/fixtures/examples/standard_ml_project
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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

README.md

Standard ML Experiment

Minimal PyTorch neural network classification experiment.

Usage

python train.py --epochs 5 --batch_size 32 --learning_rate 0.001 --output_dir ./results

Results

Results are saved in JSON format with training metrics and PyTorch model checkpoint.