class_docstr: AlphaBetaRule with alpha=1, beta=0 and ignores biases
class_docstr_tok: ["AlphaBetaRule","with","alpha=1",",","beta=0","and","ignores","biases"]
code: def __init__(self, *args, **kwargs):
      super().__init__(*args, alpha=1, beta=0, 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 Alpha1Beta0IgnoreBiasRule object from inherited base classes: AlphaBetaRule with example: obj = Alpha1Beta0IgnoreBiasRule()