artifact_path: file:///C:/%D0%9C%D0%BE%D0%B8%20%D0%BA%D0%BD%D0%B8%D0%B3%D0%B8/%D0%A1%D0%BF%D1%80%D0%B0%D0%B2%D0%BE%D1%87%D0%BD%D0%B8%D0%BA%20%D0%BF%D0%BE%20%D0%A1%D0%BE%D0%B2%D1%80%D0%B5%D0%BC%D0%B5%D0%BD%D0%BD%D1%8B%D0%BC%20%D0%91%D0%B8%D0%B1%D0%BB%D0%B8%D0%BE%D1%82%D0%B5%D0%BA%D0%B0%D0%BC%20%D0%9C%D0%B0%D1%88%D0%B8%D0%BD%D0%BD%D0%BE%D0%B3%D0%BE%20%D0%9E%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8F%20%D0%BD%D0%B0%20Python/%D0%A7%D0%B5%D1%80%D0%BD%D0%BE%D0%B2%D0%B8%D0%BA/Project/mlruns/963006926765681558/models/m-8dbeb2525ab34b2d9b9797276e7289e7/artifacts
flavors:
  python_function:
    data: model.xgb
    env:
      conda: conda.yaml
      virtualenv: python_env.yaml
    loader_module: mlflow.xgboost
    python_version: 3.12.10
  xgboost:
    code: null
    data: model.xgb
    model_class: xgboost.sklearn.XGBRegressor
    model_format: xgb
    xgb_version: 3.0.2
is_signature_from_type_hint: false
mlflow_version: 3.4.0
model_id: m-8dbeb2525ab34b2d9b9797276e7289e7
model_size_bytes: 172885
model_uuid: m-8dbeb2525ab34b2d9b9797276e7289e7
prompts: null
run_id: e06b341dae4e476fb7b4311bb8a266e1
saved_input_example_info:
  artifact_path: input_example.json
  pandas_orient: split
  serving_input_path: serving_input_example.json
  type: dataframe
signature:
  inputs: '[{"type": "double", "name": "hours_studied", "required": true}, {"type":
    "double", "name": "sleep_hours", "required": true}, {"type": "double", "name":
    "attendance_percent", "required": true}, {"type": "double", "name": "previous_scores",
    "required": true}]'
  outputs: '[{"type": "double", "name": "exam_score", "required": true}]'
  params: null
type_hint_from_example: false
utc_time_created: '2025-10-28 04:44:39.192156'
