class_docstr: Test the PrecisionRecallCurve visualizer
class_docstr_tok: ["Test","the","PrecisionRecallCurve","visualizer"]
docstr: Should not allow any target type other than binary or multiclass
docstr_tok: ["Should","not","allow","any","target","type","other","than","binary","or","multiclass"]
code: def test_fit_continuous(self):
      """
      Should not allow any target type other than binary or multiclass
      """
      X, y = make_regression()
      with pytest.raises(
          YellowbrickValueError, match="does not support target type"
      ):
          oz = PrecisionRecallCurve(LinearSVC())
          oz.fit(X, y)
  
imports: import sys
  import pytest
  import matplotlib
  from yellowbrick.exceptions import *
  from yellowbrick.classifier.prcurve import *
  from yellowbrick.datasets import load_occupancy
  from tests.base import IS_WINDOWS_OR_CONDA, VisualTestCase
  from .test_rocauc import FakeClassifier
  from sklearn.svm import LinearSVC, SVC
  from sklearn.naive_bayes import GaussianNB
  from sklearn.datasets import make_regression
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.linear_model import RidgeClassifier
  from sklearn.model_selection import train_test_split
  from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import MinMaxScaler
label_desc: Use image node_id 1 for calling the TestPrecisionRecallCurve obj's underlying member method code with example usage: obj.test_fit_continuous() without return types