sample.json

{
	"guid": "B69FAC86-88BF-41BD-B4E0-ACDF753ED3CE",
	"name": "Intel® Distribution for Python* Distributed K- Means Model",
	"categories": ["Toolkit/oneAPI AI And Analytics/Features And Functionality"],
	"description": "This sample code illustrates how to train and predict with a distributed K-Means model with the Intel® Distribution of Python using the Python API package Daal4py powered by Intel® oneDAL",
	"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",
				"uv add numpy==1.26.4"
			],
			"id": "idp_d4p_KM_Dist",
			"steps": [
				"uv run mpirun -n 4 python ./IntelPython_daal4py_Distributed_Kmeans.py"
			]
		}]
	},
	"expertise": "Concepts and Functionality"
}