class_docstr: Test Manifold visualizer
class_docstr_tok: ["Test","Manifold","visualizer"]
docstr: Test manifold fit with algorithms not having transform implemented
docstr_tok: ["Test","manifold","fit","with","algorithms","not","having","transform","implemented"]
code: def test_manifold_algorithm_no_transform_fit(self, algorithm):
      """
      Test manifold fit with algorithms not having transform implemented
      """
      X, y = self.s_curves
      msg = "requires data to be simultaneously fit and transformed"
      oz = Manifold(
          manifold=algorithm, n_neighbors=10, random_state=223
      )
      with pytest.raises(ModelError, match=msg):
          oz.fit(X)
  
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 7 for calling the TestManifold obj's underlying member method code with example usage: obj.test_manifold_algorithm_no_transform_fit(algorithm) without return types