code: def tf_shadow_clf(
      tf_rf_model, dataset_spark_tensorflow, features_clf
  ):
      target_clf = "Survived"
  
      tf_shadow = ShadowTensorflowTree(
          tf_rf_model,
          tree_index=0,
          X_train=dataset_spark_tensorflow[features_clf],
          y_train=dataset_spark_tensorflow[target_clf],
          feature_names=features_clf,
          target_name=target_clf,
          class_names=[0, 1],
      )
  
      return tf_shadow
  
imports: import pytest
  import numpy
  import tensorflow_decision_forests
  from dtreeviz.models.tensorflow_decision_tree import ShadowTensorflowTree
label_desc: Use image node_id 3 for calling a global function with example usage: tf_shadow_clf(tf_rf_model, dataset_spark_tensorflow, features_clf) and returns: tf_shadow