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","."]
code: def call(self, inputs, **kwargs):
      return self.epsilon * tf.ones_like(inputs)[:, 0:1]
  
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 3 for calling the EpsilonLayer obj's underlying member method code with example usage: obj.call(inputs) and returns: unknown