code: def predict(self):
      trained_model = self.load_model()
      pred_data = ak.image_dataset_from_directory(self.data_path)
      trained_model.predict(pred_data)
  
file_path: igel/igel/auto/cnn.py
imports: import json
  import logging
  import os
  import autokeras
  from igel.auto.defaults import Defaults
  from igel.auto.models import Models
  from igel.constants import Constants
  from igel.utils import read_json, read_yaml
  from tensorflow.keras.models import load_model
label_desc: Use image node_id 8 for calling the IgelCNN obj's underlying member method code with example usage: obj.predict() without return types