File size: 1,496 Bytes
0d01a5f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | 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'
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