class_docstr: http://jgillenw.com/cikm2018.pdf Algorithm 1
code: def __init__(
      self,
      alpha: float,
      kernel: Kernel = Kernel.Linear,
      sigma: float = 1.0,
      rerank_topk: Optional[int] = None,
  ) -> None:
      super().__init__()
      # control the strength of encouragement for diversity
      self.alpha = alpha
  
      # distance function
      self.kernel = kernel
  
      # sigma parameter used in the RBF kernel
      self.sigma = sigma
  
      # hard code this value so jit.script can work
      self.MIN_VALUE = -3.4e38
  
      # if None, will rerank the full slate
      self.rerank_topk = rerank_topk
      if self.rerank_topk is not None:
          assert self.rerank_topk > 0
  
file_path: ReAgent/reagent/prediction/ranking/predictor_wrapper.py
imports: from enum import Enum
  from typing import List, Optional, Tuple
  import torch
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new DeterminantalPointProcessPredictorWrapper object from inherited base classes: torch.jit with example: obj = DeterminantalPointProcessPredictorWrapper(alpha, kernel, sigma, rerank_topk)