class_docstr: Custom keras layer to allow epsilon to be learned during training process.
class_docstr_tok: ["Custom","keras","layer","to","allow","epsilon","to","be","learned","during","training","process","."]
docstr: Inherits keras' Layer object.
docstr_tok: ["Inherits","keras","'","Layer","object","."]
code: def __init__(self):
      """
      Inherits keras' Layer object.
      """
      super(EpsilonLayer, self).__init__()
  
file_path: causalml/causalml/inference/tf/utils.py
imports: import tensorflow
  from tensorflow.keras import backend
  from tensorflow.keras.layers import Layer
  from tensorflow.keras.metrics import binary_accuracy
label_desc: Use image node_id 1 to create a new EpsilonLayer object from inherited base classes: Layer with example: obj = EpsilonLayer()