code: def standard_aggregations(scores):
      return {
          "mean": np.mean(scores),
          "variance": np.var(scores),
          "p90": np.percentile(scores, 90),
      }
  
imports: from dataclasses import dataclass
  from typing import Dict, List, Union
  import numpy
  from mlflow.utils.annotations import experimental
  from mlflow.utils.validation import _is_numeric
label_desc: Use image node_id 1 for calling a global function with example usage: standard_aggregations(scores) and returns: dict