code: def class_prior(self) -> np.ndarray:
      return np.exp(self.class_log_prior)
  
imports: import torch
  import numpy
  import torch.nn.functional
  from typing import Dict
  from typing import List
  from typing import Iterator
  from typing import Optional
  from cftool.array import to_numpy
  from cftool.array import to_torch
  from .base import MLModel
  from ...schema import MLEncoderSettings
  from ...schema import MLGlobalEncoderSettings
  from ...modules.blocks import Linear
  from ...modules.blocks import Activation
label_desc: Use image node_id 7 for calling the NDT obj's underlying member method code with example usage: obj.class_prior() and returns: np