code: def test_correctly_indexed_classificaton_classes():
      iris = datasets.load_iris()
      x = iris.data
      y = iris.target
  
      supervision_metric = "sparse_categorical_crossentropy"
      ivis_iris = Ivis(
          k=15,
          batch_size=16,
          epochs=2,
          supervision_metric=supervision_metric,
      )
  
      embeddings = ivis_iris.fit_transform(x, y)
  
file_path: ivis/tests/integration/test_supervised.py
imports: import pytest
  from tensorflow.keras.datasets import boston_housing
  from tensorflow.keras.utils import to_categorical
  from tensorflow.keras import losses
  from sklearn import datasets
  import numpy
  from ivis import Ivis
label_desc: Use image node_id 4 for calling a global function with example usage: test_correctly_indexed_classificaton_classes() without return types