code: def __init__(
      self,
      validation_data,
      data_table_columns,
      pred_table_columns,
      num_samples=100,
  ):
      super().__init__(data_table_columns, pred_table_columns)
  
      self.x = validation_data[0]
      self.y = validation_data[1]
  
file_path: wandb/tests/functional_tests/t0_main/keras/test_keras_eval_tables_builder.py
imports: import numpy
  import tensorflow
  import wandb
  from wandb.keras import WandbEvalCallback
label_desc: Use image node_id 1 to create a new WandbClfEvalCallback object from inherited base classes: WandbEvalCallback with example: obj = WandbClfEvalCallback(validation_data, data_table_columns, pred_table_columns, num_samples)