class_docstr: The abstract class for a predictor algorithm.
class_docstr_tok: ["The","abstract","class","for","a","predictor","algorithm","."]
code: def __init__(self, sde, score_fn, probability_flow=False):
      super().__init__()
      self.sde = sde
      self.rsde = sde.reverse(score_fn)
      self.score_fn = score_fn
      self.probability_flow = probability_flow
  
file_path: espnet/espnet2/enh/diffusion/sampling/predictors.py
imports: import abc
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new Predictor object from inherited base classes: abc with example: obj = Predictor(sde, score_fn, probability_flow)