code: def ValidationSplitSampler(
      axis: int = -1, min_past: int = 0, min_future: int = 0
  ) -> PredictionSplitSampler:
      return PredictionSplitSampler(
          allow_empty_interval=True,
          axis=axis,
          min_past=min_past,
          min_future=min_future,
      )
  
imports: from typing import Tuple
  import numpy
  from gluonts.dataset.stat import ScaleHistogram
  from gluonts.pydantic import BaseModel
label_desc: Use image node_id 1 for calling a global function with example usage: ValidationSplitSampler(axis, min_past, min_future) and returns: PredictionSplitSampler