artifact_path: mlflow-artifacts:/950090596187142201/models/m-05c8d00ecee9466cb94826238b40c358/artifacts
flavors:
  python_function:
    artifacts:
      classifier_state:
        path: artifacts\classifier_state.pt
        uri: classifier_state.pt
      encoder_state:
        path: artifacts\encoder_state.pt
        uri: encoder_state.pt
    cloudpickle_version: 3.1.1
    code: null
    env:
      conda: conda.yaml
      virtualenv: python_env.yaml
    loader_module: mlflow.pyfunc.model
    python_model: python_model.pkl
    python_version: 3.10.18
    streamable: false
is_signature_from_type_hint: false
mlflow_version: 3.1.1
model_id: m-05c8d00ecee9466cb94826238b40c358
model_size_bytes: 705132303
model_uuid: m-05c8d00ecee9466cb94826238b40c358
prompts: null
run_id: 9e9008c0f3514517bb96761ce96293ab
saved_input_example_info:
  artifact_path: input_example.json
  serving_input_path: serving_input_example.json
  type: ndarray
signature:
  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 1,
    76, 141, 141]}}]'
  outputs: '[{"name": "tissue", "type": "tensor", "tensor-spec": {"dtype": "float32",
    "shape": [-1, 1]}}, {"name": "Diagnosis", "type": "tensor", "tensor-spec": {"dtype":
    "float32", "shape": [-1, 1]}}, {"name": "BRAF_Olga", "type": "tensor", "tensor-spec":
    {"dtype": "float32", "shape": [-1, 1]}}]'
  params: null
type_hint_from_example: false
utc_time_created: '2025-07-17 13:08:58.045735'