artifact_path: model
flavors:
  python_function:
    env:
      conda: conda.yaml
      virtualenv: python_env.yaml
    loader_module: mlflow.sklearn
    model_path: model.pkl
    predict_fn: predict
    python_version: 3.11.8
  sklearn:
    code: null
    pickled_model: model.pkl
    serialization_format: cloudpickle
    sklearn_version: 1.2.2
mlflow_version: 2.12.2
model_size_bytes: 1257
model_uuid: dc17d9ee06a94fcd9e0f9a1e962736f3
run_id: d8f52d42-3e09-4f71-8747-6667f3460ba2
saved_input_example_info:
  artifact_path: input_example.json
  pandas_orient: split
  type: dataframe
signature:
  inputs: '[{"type": "long", "name": "AGE", "required": true}, {"type": "long", "name":
    "SEX", "required": true}, {"type": "double", "name": "BMI", "required": true},
    {"type": "double", "name": "BP", "required": true}, {"type": "long", "name": "S1",
    "required": true}, {"type": "double", "name": "S2", "required": true}, {"type":
    "double", "name": "S3", "required": true}, {"type": "double", "name": "S4", "required":
    true}, {"type": "double", "name": "S5", "required": true}, {"type": "long", "name":
    "S6", "required": true}]'
  outputs: '[{"type": "long", "name": "Risk_predicted", "required": true}]'
  params: null
utc_time_created: '2026-02-18 15:11:23.832924'