class_docstr: AlphaBetaRule with alpha=2, beta=1 and ignores biases
class_docstr_tok: ["AlphaBetaRule","with","alpha=2",",","beta=1","and","ignores","biases"]
code: def __init__(self, *args, **kwargs):
      super().__init__(*args, alpha=2, beta=1, bias=False, **kwargs)
  
imports: from __future__ import annotations
  import numpy
  import tensorflow.keras.backend
  import tensorflow.keras.layers
  import innvestigate.analyzer.relevance_based.utils
  import innvestigate.backend
  import innvestigate.backend.graph
  import innvestigate.layers
  from innvestigate.backend.types import Layer, OptionalList, Tensor
label_desc: Use image node_id 1 to create a new Alpha2Beta1IgnoreBiasRule object from inherited base classes: AlphaBetaRule with example: obj = Alpha2Beta1IgnoreBiasRule()