class_docstr: Test the ManualAlphaSelection visualizer
class_docstr_tok: ["Test","the","ManualAlphaSelection","visualizer"]
docstr: Test the manual alphas quick method producing a valid visualization
docstr_tok: ["Test","the","manual","alphas","quick","method","producing","a","valid","visualization"]
code: def test_quick_method_manual(self):
      """
      Test the manual alphas quick method producing a valid visualization
      """
      X, y = load_energy(return_dataset=True).to_numpy()
  
      visualizer = manual_alphas(
          ElasticNet(random_state=0),
          X,
          y,
          cv=3,
          is_fitted=False,
          show=False,
      )
      assert isinstance(visualizer, ManualAlphaSelection)
      # Python 3.6 Travis images not similar (RMS 0.024)
      self.assert_images_similar(visualizer, tol=0.5)
  
imports: import sys
  import pytest
  import numpy
  from tests.base import VisualTestCase
  from numpy.testing import assert_array_equal
  from yellowbrick.datasets import load_energy, load_concrete
  from yellowbrick.exceptions import YellowbrickTypeError
  from yellowbrick.exceptions import YellowbrickValueError
  from yellowbrick.regressor.alphas import AlphaSelection, alphas
  from yellowbrick.regressor.alphas import ManualAlphaSelection, manual_alphas
  from sklearn.svm import SVR, SVC
  from sklearn.cluster import KMeans
  from sklearn.decomposition import PCA
  from sklearn.impute import SimpleImputer
  from sklearn.pipeline import Pipeline
  from sklearn.datasets import make_regression
  from sklearn.linear_model import Ridge, RidgeCV
  from sklearn.linear_model import Lasso, LassoCV
  from sklearn.linear_model import LassoLars, LassoLarsCV
  from sklearn.linear_model import ElasticNet, ElasticNetCV
label_desc: Use image node_id 4 for calling the TestManualAlphaSelection obj's underlying member method code with example usage: obj.test_quick_method_manual() without return types