load_ml_model.json

{
    "id": "load_ml_model",
    "summary": "Load a ML model",
    "description": "Loads a machine learning model from a STAC Item.\n\nSuch a model could be trained and saved as part of a previous batch job with processes such as  ``ml_fit_regr_random_forest()`` and ``save_ml_model()``.",
    "categories": [
        "machine learning",
        "import"
    ],
    "experimental": true,
    "parameters": [
        {
            "name": "uri",
            "description": "The STAC Item to load the machine learning model from. The STAC Item must implement the `ml-model` extension.",
            "schema": [
                {
                    "title": "URL",
                    "type": "string",
                    "format": "uri",
                    "subtype": "uri",
                    "pattern": "^https?://"
                },
                {
                    "title": "User-uploaded File",
                    "type": "string",
                    "subtype": "file-path",
                    "pattern": "^[^\r\n\\:'\"]+$"
                }
            ]
        }
    ],
    "returns": {
        "description": "A machine learning model to be used with machine learning processes such as ``ml_predict()``.",
        "schema": {
            "type": "object",
            "subtype": "ml-model"
        }
    },
    "links": [
        {
            "href": "https://github.com/stac-extensions/ml-model",
            "title": "STAC ml-model extension",
            "type": "text/html",
            "rel": "about"
        }
    ]
}