sample.json

{
	"guid": "3B164041-12CD-4429-A1AB-0F35EFE521FF",
	"name": "Intel® Optimization for XGBoost* Getting Started",
	"categories": ["Toolkit/oneAPI AI And Analytics/Getting Started"],
	"description": "The sample illustrates how to setup and train an XGBoost model on datasets for prediction",
	"builder": ["cli"],
	"languages": [{
		"python": {}
	}],
	"dependencies": ["intelpython"],
	"os": ["linux"],
	"targetDevice": ["CPU"],
	"ciTests": {
		"linux": [{
			"env": [
				"source /intel/oneapi/intelpython/bin/activate",
				"conda activate base",
				"pip install uv",
				"uv init",
				"uv python pin $(which python)",
				"uv venv --system-site-packages",
				"uv add -r requirements.txt"
			],
			"id": "IDP_XGBoost_GS_py",
			"steps": [
				"uv run python IntelPython_XGBoost_GettingStarted.py"
			]
		}]
	},
	"expertise": "Getting Started"
}