class_docstr: Interpretation base class, can be inherited for task specific Interpretation classes
code: def __init__(
      self,
      learn: Learner,
      dl: DataLoader,  # `DataLoader` to run inference over
      losses: TensorBase,  # Losses calculated from `dl`
      act=None,  # Activation function for prediction
  ):
      store_attr()
  
imports: from __future__ import annotations
  from .data.all import *
  from .optimizer import *
  from .learner import *
  from .tabular.core import *
  import sklearn.metrics
label_desc: Use image node_id 1 to create a new Interpretation object  with example: obj = Interpretation(learn, dl, losses, act)