- 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
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438 B
JSON
13 lines
No EOL
438 B
JSON
{
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"status": "success",
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"execution_time": 1.8911287784576416,
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"stdout": "",
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"stderr": "INFO:__main__:Training Random Forest with 100 estimators...\nINFO:__main__:Training completed. Accuracy: 0.9000\nINFO:__main__:Results saved successfully!\n\n",
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"return_code": 0,
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"gpu_accessible": true,
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"security_mode": "enabled",
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"container_type": "conda",
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"conda_env": "ml_env",
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"package_manager": "mamba",
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"ds_friendly": true
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} |