class_docstr: Test Manifold visualizer
class_docstr_tok: ["Test","Manifold","visualizer"]
docstr: Image similarity test for regression dataset (continuous y)
docstr_tok: ["Image","similarity","test","for","regression","dataset","(","continuous","y",")"]
code: def test_manifold_regression(self):
      """
      Image similarity test for regression dataset (continuous y)
      """
      X, y = self.continuous
  
      oz = Manifold(
          manifold="tsne", target="continuous", random_state=1
      )
      assert not hasattr(oz, "range_")
  
      oz.fit_transform(X, y)
      oz.finalize()
      assert not hasattr(oz, "classes_")
      assert hasattr(oz, "range_")
      self.assert_images_similar(oz, tol=1.5)
  
imports: import pytest
  from yellowbrick.features.manifold import *
  from yellowbrick.utils.types import is_estimator
  from yellowbrick.features.base import TargetType
  from yellowbrick.exceptions import YellowbrickValueError, ModelError, NotFitted
  from sklearn.pipeline import Pipeline
  from sklearn.decomposition import PCA
  from sklearn.datasets import make_blobs
  from sklearn.datasets import make_s_curve
  from sklearn.manifold import LocallyLinearEmbedding
  from unittest.mock import patch
  from tests.base import VisualTestCase
label_desc: Use image node_id 14 for calling the TestManifold obj's underlying member method code with example usage: obj.test_manifold_regression() without return types