{
  "system": {
    "package_version": "1.1.2",
    "script": "export_run.py",
    "export_time": 1672601766,
    "_export_time": "2023-01-01 19:36:06",
    "mlflow_version": "2.1.1",
    "mlflow_tracking_uri": "http://127.0.0.1:5020",
    "user": "andre",
    "platform": {
      "python_version": "3.8.15",
      "system": "Darwin"
    }
  },
  "mlflow": {
    "info": {
      "run_uuid": "5397ae67ee0c49139bf64834b4d27fab",
      "run_id": "5397ae67ee0c49139bf64834b4d27fab",
      "experiment_id": "2",
      "user_id": "andre",
      "status": "FINISHED",
      "start_time": 1672601579550,
      "end_time": 1672601583143,
      "lifecycle_stage": "active",
      "artifact_uri": "/opt/mlflow/server/mlruns/2/5397ae67ee0c49139bf64834b4d27fab/artifacts",
      "run_name": "sklearn_iris"
    },
    "params": {
      "max_depth": "5"
    },
    "metrics": {
      "accuracy_score": [
        {
          "value": 0.9555555555555556,
          "timestamp": 1672601579593,
          "step": 0
        }
      ],
      "zero_one_loss": [
        {
          "value": 0.0444444444444444,
          "timestamp": 1672601579602,
          "step": 0
        }
      ]
    },
    "tags": {
      "dataset": "sklearn-iris",
      "int": "123",
      "mlflow.log-model.history": "[{\"run_id\": \"5397ae67ee0c49139bf64834b4d27fab\", \"artifact_path\": \"sklearn-model\", \"utc_time_created\": \"2023-01-01 19:32:59.612140\", \"flavors\": {\"python_function\": {\"model_path\": \"model.pkl\", \"predict_fn\": \"predict\", \"loader_module\": \"mlflow.sklearn\", \"python_version\": \"3.8.15\", \"env\": {\"conda\": \"conda.yaml\", \"virtualenv\": \"python_env.yaml\"}}, \"sklearn\": {\"pickled_model\": \"model.pkl\", \"sklearn_version\": \"1.1.1\", \"serialization_format\": \"cloudpickle\", \"code\": null}}, \"model_uuid\": \"3bd3c618169546189858df68e9610e0a\", \"mlflow_version\": \"2.1.1\"}]",
      "mlflow.runName": "sklearn_iris",
      "mlflow.source.git.commit": "d38984e536ac5102ccd495fdafe487a418378009",
      "mlflow.source.name": "train.py",
      "mlflow.source.type": "LOCAL",
      "mlflow.user": "andre",
      "mlflow_version": "2.1.1"
    }
  }
}
