Deploy R in online mode - batch job to deploy R model

batch-job-to-deploy-R-model.py

config = {
    "function_name": "lead scoring",
    "script": "lead_scoring.R",
    "required_assets": ["products.csv", "transactions.rds", "xgboost.rds", "mssql-jdbc-10.2.1.jre11.jar"],
    "r_packages": ["dplyr", "RJDBC", "xgboost"],
}

payload = {"scoring": {"input_data": [{"values": [config]}]}, "deployment": {"id": deployment_id}, "space_id": SPACE_ID, "name": "lead_scoring_deployment"}
headers = {"Content-Type": "application/json", "Accept": "application/json", "Authorization": wml_client._get_headers()["Authorization"]}
params = {"version": "2021-06-24", "space_id": SPACE_ID}

requests.post(
  url="https://cpd-cpd.itzroks-550003aw18-72fhj7-6ccd7f378ae819553d37d5f2ee142bd6-0000.au-syd.containers.appdomain.cloud/ml/v4/deployment_jobs", 
  headers=headers, 
  params=params, 
  json=payload, 
  verify=False
)