class_docstr: K-Elbow Visualizer Tests
class_docstr_tok: ["K-Elbow","Visualizer","Tests"]
docstr: Test topic modeling k-means on the hobbies corpus
code: def test_topic_modeling_k_means(self):
      """
      Test topic modeling k-means on the hobbies corpus
      """
      corpus = load_hobbies()
  
      tfidf = TfidfVectorizer()
      docs = tfidf.fit_transform(corpus.data)
      visualizer = KElbowVisualizer(KMeans(), k=(4, 8))
  
      visualizer.fit(docs)
      visualizer.finalize()
  
      self.assert_images_similar(visualizer)
  
imports: import sys
  import pytest
  import numpy
  import matplotlib.pyplot
  from scipy.sparse import csc_matrix, csr_matrix
  from numpy.testing import assert_array_almost_equal
  from sklearn.datasets import make_blobs
  from sklearn.cluster import KMeans, MiniBatchKMeans
  from sklearn.feature_extraction.text import TfidfVectorizer
  from tests.fixtures import Dataset
  from tests.base import VisualTestCase
  from yellowbrick.datasets import load_hobbies
  from yellowbrick.cluster.elbow import distortion_score
  from yellowbrick.cluster.elbow import KElbowVisualizer, kelbow_visualizer
  from yellowbrick.exceptions import YellowbrickValueError, YellowbrickWarning
  from tests.base import IS_WINDOWS_OR_CONDA
label_desc: Use image node_id 3 for calling the TestKElbowVisualizer obj's underlying member method code with example usage: obj.test_topic_modeling_k_means() without return types