code: def load_visual_feature():
      """Load item visual features (extracted from pre-trained CNN)
  
      Returns
      -------
      features: numpy.ndarray
          Feature matrix with shape (n, 4096) with n is the number of items.
  
      item_ids: List
          List of item ids aligned with indices in `features`.
      """
      features = np.load(
          cache(
              url="https://static.preferred.ai/cornac/datasets/amazon_clothing/image.zip",
              unzip=True,
              relative_path="amazon_clothing/image_features.npy",
          )
      )
      item_ids = read_text(
          cache(
              url="https://static.preferred.ai/cornac/datasets/amazon_clothing/item_ids.zip",
              unzip=True,
              relative_path="amazon_clothing/item_ids.txt",
          )
      )
      return features, item_ids
  
file_path: cornac/cornac/datasets/amazon_clothing.py
imports: from typing import List
  import numpy
  from ..utils import cache
  from ..data import Reader
  from ..data.reader import read_text
label_desc: Use image node_id 3 for calling a global function with example usage: load_visual_feature() and returns: features,  item_ids