code: def bst_params():
      return {
          "objective": "multi:softprob",
          "num_class": 3,
          "eval_metric": "mlogloss",
      }
  
imports: import functools
  import json
  import os
  import pickle
  from unittest import mock
  import matplotlib
  import numpy
  import pandas
  import pytest
  import xgboost
  import yaml
  from packaging.version import Version
  from sklearn import datasets
  import mlflow
  import mlflow.xgboost
  from mlflow import MlflowClient
  from mlflow.models import Model
  from mlflow.models.utils import _read_example
  from mlflow.types.utils import _infer_schema
  from mlflow.utils.autologging_utils import BatchMetricsLogger, picklable_exception_safe_function
  from mlflow.xgboost._autolog import IS_TRAINING_CALLBACK_SUPPORTED, autolog_callback
label_desc: Use image node_id 3 for calling a global function with example usage: bst_params() and returns: dict