code: def __init__(self, regularization_factor=0.1, name="custom_mse"):
      super().__init__(name=name)
      self.regularization_factor = regularization_factor
  
imports: import torch
  import tensorflow
  import os
  import numpy
  import keras
  from keras import layers
  from keras import ops
label_desc: Use image node_id 1 to create a new CustomMSE object from inherited base classes: keras.losses with example: obj = CustomMSE(regularization_factor, name)