code: def __init__(self, n_features: int):
      super().__init__()
      self.config = {"n_features": n_features}
      self.dense = Dense(20)
  
imports: import numpy
  import pytest
  import tensorflow
  from tensorflow.keras.layers import Dense
  import torch
  import torch.nn
  from alibi_detect.cd import LearnedKernelDrift
  from alibi_detect.cd.pytorch.learned_kernel import LearnedKernelDriftTorch
  from alibi_detect.cd.tensorflow.learned_kernel import LearnedKernelDriftTF
  from alibi_detect.utils.frameworks import has_keops
label_desc: Use image node_id 1 to create a new MyKernelTF object from inherited base classes: tf.keras with example: obj = MyKernelTF(n_features)