class_docstr: Test ConfusionMatrix visualizer
class_docstr_tok: ["Test","ConfusionMatrix","visualizer"]
docstr: Test that visualizer properly handles an already-fitted model
docstr_tok: ["Test","that","visualizer","properly","handles","an","already-fitted","model"]
code: def test_with_fitted(self):
      """
      Test that visualizer properly handles an already-fitted model
      """
      X, y = load_occupancy(return_dataset=True).to_numpy()
  
      model = LogisticRegression().fit(X, y)
      classes = ["unoccupied", "occupied"]
  
      with patch.object(model, "fit") as mockfit:
          oz = ConfusionMatrix(model, classes=classes)
          oz.fit(X, y)
          mockfit.assert_not_called()
  
      with patch.object(model, "fit") as mockfit:
          oz = ConfusionMatrix(model, classes=classes, is_fitted=True)
          oz.fit(X, y)
          mockfit.assert_not_called()
  
      with patch.object(model, "fit") as mockfit:
          oz = ConfusionMatrix(model, classes=classes, is_fitted=False)
          oz.fit(X, y)
          mockfit.assert_called_once_with(X, y)
  
imports: import sys
  import pytest
  import yellowbrick
  import numpy.testing
  import matplotlib.pyplot
  from yellowbrick.exceptions import ModelError
  from yellowbrick.datasets import load_occupancy
  from yellowbrick.classifier.confusion_matrix import *
  from unittest.mock import patch
  from tests.fixtures import Dataset, Split
  from tests.base import IS_WINDOWS_OR_CONDA, VisualTestCase
  from sklearn.svm import SVC
  from sklearn.naive_bayes import GaussianNB
  from sklearn.preprocessing import LabelEncoder
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.linear_model import LogisticRegression
  from sklearn.linear_model import PassiveAggressiveRegressor
  from sklearn.model_selection import train_test_split
  from sklearn.datasets import load_digits, make_classification
  from sklearn.preprocessing import MinMaxScaler
  from sklearn.pipeline import Pipeline
label_desc: Use image node_id 13 for calling the TestConfusionMatrix obj's underlying member method code with example usage: obj.test_with_fitted() without return types