fetch_ml/podman/workspace/sklearn_project/results/execution_results.json
Jeremie Fraeys 4aecd469a1 feat: implement comprehensive monitoring and container orchestration
- Add Prometheus, Grafana, and Loki monitoring stack
- Include pre-configured dashboards for ML metrics and logs
- Add Podman container support with security policies
- Implement ML runtime environments for multiple frameworks
- Add containerized ML project templates (PyTorch, TensorFlow, etc.)
- Include secure runner with isolation and resource limits
- Add comprehensive log aggregation and alerting
2025-12-04 16:54:49 -05:00

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{
"status": "success",
"execution_time": 1.8911287784576416,
"stdout": "",
"stderr": "INFO:__main__:Training Random Forest with 100 estimators...\nINFO:__main__:Training completed. Accuracy: 0.9000\nINFO:__main__:Results saved successfully!\n\n",
"return_code": 0,
"gpu_accessible": true,
"security_mode": "enabled",
"container_type": "conda",
"conda_env": "ml_env",
"package_manager": "mamba",
"ds_friendly": true
}