code: def double_positive(_eval_df, builtin_metrics):
      return builtin_metrics["true_positives"] * 2
  
imports: import shap
  import xgboost
  from sklearn.dummy import DummyClassifier
  from sklearn.model_selection import train_test_split
  import mlflow
  from mlflow.models import MetricThreshold, infer_signature, make_metric
label_desc: Use image node_id 1 for calling a global function with example usage: double_positive(_eval_df, builtin_metrics) and returns: unknown