ExportMLModel

Exports an existing ML model to a file.

python · Machine Learning

Source

from CommonServerPython import *


def get_ml_model_data(model_name):
    res = demisto.executeCommand("getMLModel", {"modelName": model_name})
    res = res[0]
    if is_error(res):
        return_error(f"error reading model {model_name} from Demisto")
    return res["Contents"]


def main():
    model_data = get_ml_model_data(model_name=demisto.args()["modelName"])
    file_result = fileResult("model.data", json.dumps(model_data))
    demisto.results(file_result)


if __name__ in ["__main__", "__builtin__", "builtins"]:
    main()

README

Exports an existing ML model to a file.

Script Data

Name Description
Script Type python3
Tags ml
Cortex XSOAR Version 5.0.0

Inputs

Argument Name Description
modelName The name of the ML model to export to a file.

Outputs

There are no outputs for this script.