| artifact_path: /media/vini/DATA/Git/ml_full_project/mlruns/3/models/m-8034c7deb349426293a62b0acbaaed24/artifacts |
| flavors: |
| lightgbm: |
| code: null |
| data: model.pkl |
| lgb_version: 4.6.0 |
| model_class: lightgbm.sklearn.LGBMClassifier |
| serialization_format: cloudpickle |
| skops_trusted_types: null |
| python_function: |
| data: model.pkl |
| env: |
| conda: conda.yaml |
| virtualenv: python_env.yaml |
| loader_module: mlflow.lightgbm |
| python_version: 3.12.11 |
| is_signature_from_type_hint: false |
| mlflow_version: 3.10.1 |
| model_id: m-8034c7deb349426293a62b0acbaaed24 |
| model_size_bytes: 2136314 |
| model_uuid: m-8034c7deb349426293a62b0acbaaed24 |
| prompts: null |
| run_id: 46052a0a4924469387a76b91ad93bcc5 |
| 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": "gender", "required": true}, {"type": "double", |
| "name": "work_type", "required": true}, {"type": "double", "name": "residence_type", |
| "required": true}, {"type": "double", "name": "smoking_status", "required": true}, |
| {"type": "double", "name": "age", "required": true}, {"type": "double", "name": |
| "bmi", "required": true}, {"type": "double", "name": "avg_glucose_level", "required": |
| true}, {"type": "double", "name": "hypertension", "required": true}, {"type": |
| "double", "name": "heart_disease", "required": true}, {"type": "double", "name": |
| "ever_married", "required": true}]' |
| outputs: '[{"type": "long", "required": true}]' |
| params: null |
| type_hint_from_example: false |
| utc_time_created: '2026-05-19 01:59:21.617844' |
|
|
