class_docstr: Test the ParallelCoordinates visualizer
class_docstr_tok: ["Test","the","ParallelCoordinates","visualizer"]
docstr: Test image closeness when class and feature labels are supplied in fast mode
docstr_tok: ["Test","image","closeness","when","class","and","feature","labels","are","supplied","in","fast","mode"]
code: def test_labels_fast(self):
      """
      Test image closeness when class and feature labels are supplied in fast mode
      """
      visualizer = ParallelCoordinates(
          classes=["a", "b", "c"],
          features=["f1", "f2", "f3", "f4", "f5"],
          fast=True,
      )
      visualizer.fit_transform(self.dataset.X, self.dataset.y)
      visualizer.finalize()
      self.assert_images_similar(visualizer)
  
imports: import pytest
  import numpy
  from yellowbrick.datasets import load_occupancy
  from yellowbrick.features.pcoords import *
  from tests.base import VisualTestCase
  from ..fixtures import Dataset
  from sklearn.datasets import make_classification
label_desc: Use image node_id 6 for calling the TestParallelCoordinates obj's underlying member method code with example usage: obj.test_labels_fast() without return types