code: def add_model_predictions(self, epoch, logs=None):
      preds = self.model.predict(self.x, verbose=0)
      preds = tf.argmax(preds, axis=-1)
  
      data_table_ref = self.data_table_ref
      table_idxs = data_table_ref.get_index()
  
      for idx in table_idxs:
          pred = preds[idx]
          self.pred_table.add_data(
              epoch,
              data_table_ref.data[idx][0],
              data_table_ref.data[idx][1],
              data_table_ref.data[idx][2],
              pred,
          )
  
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 3 for calling the WandbClfEvalCallback obj's underlying member method code with example usage: obj.add_model_predictions(epoch, logs) without return types