artifact_path: mlflow-artifacts:/1/models/m-bd3c0c136325420f968da246eb391a3f/artifacts
flavors:
  python_function:
    artifacts:
      model:
        path: artifacts/isolation_forest.pkl
        uri: /tmp/tmp7_w11p5z/isolation_forest.pkl
    cloudpickle_version: 3.1.2
    code: null
    env:
      conda: conda.yaml
      virtualenv: python_env.yaml
    loader_module: mlflow.pyfunc.model
    python_model: python_model.pkl
    python_version: 3.13.13
    streamable: false
is_signature_from_type_hint: false
mlflow_version: 3.14.0
model_id: m-bd3c0c136325420f968da246eb391a3f
model_size_bytes: 1247806
model_uuid: m-bd3c0c136325420f968da246eb391a3f
prompts: null
run_id: f127d3357648472a91f898dc506e2311
signature:
  inputs: '[{"type": "double", "name": "session_start_sin", "required": true}, {"type":
    "double", "name": "session_start_cos", "required": true}, {"type": "double", "name":
    "session_end_sin", "required": true}, {"type": "double", "name": "session_end_cos",
    "required": true}, {"type": "double", "name": "event_count", "required": true},
    {"type": "double", "name": "unique_event_types", "required": true}, {"type": "double",
    "name": "screens_visited", "required": true}, {"type": "double", "name": "duration_seconds",
    "required": true}, {"type": "double", "name": "events_per_minute", "required":
    true}, {"type": "double", "name": "inter_event_time_mean_seconds", "required":
    true}, {"type": "double", "name": "inter_event_time_median_seconds", "required":
    true}, {"type": "double", "name": "inter_event_time_std_seconds", "required":
    true}, {"type": "double", "name": "max_inter_event_gap_seconds", "required": true},
    {"type": "double", "name": "session_start_hour", "required": true}, {"type": "double",
    "name": "session_day_of_week", "required": true}, {"type": "double", "name": "session_day_of_week_sin",
    "required": true}, {"type": "double", "name": "session_day_of_week_cos", "required":
    true}, {"type": "double", "name": "distinct_hours_active", "required": true}]'
  outputs: '[{"type": "long", "name": "prediction", "required": true}, {"type": "double",
    "name": "anomaly_score", "required": true}, {"type": "double", "name": "decision_score",
    "required": true}, {"type": "string", "name": "shap_values", "required": true}]'
  params: null
type_hint_from_example: false
utc_time_created: '2026-06-29 13:12:50.535445'