code: def keras_clf():
      # This is a small classifier (~14 MB, ~3.5 million weights).
      # On first run weights are downloaded automatically and cached.
      # See https://keras.io/applications/
      clf = mobilenet_v2.MobileNetV2(
          alpha=1.0, include_top=True, weights="imagenet", classes=1000
      )
      print("Summary of classifier:")
      clf.summary()
      return clf
  
file_path: eli5/tests/test_keras_integration.py
imports: from __future__ import print_function
  import pytest
  import numpy
  from PIL import Image
  from keras.applications import mobilenet_v2
  from keras.models import Sequential
  import eli5
  from eli5.base import Explanation
  from eli5 import format_as_image
  from eli5.formatters.image import expand_heatmap
  from .utils_image import assert_pixel_by_pixel_equal
label_desc: Use image node_id 1 for calling a global function with example usage: keras_clf() and returns: clf