class_docstr: Unit test class for testing scikit-learn converter.
class_docstr_tok: ["Unit","test","class","for","testing","scikit-learn","converter","."]
docstr: Tests conversion of a scikit KNeighborsClassifier using the brute force algorithm.
docstr_tok: ["Tests","conversion","of","a","scikit","KNeighborsClassifier","using","the","brute","force","algorithm","."]
code: def test_conversion_auto_algorithm(self):
      """Tests conversion of a scikit KNeighborsClassifier using the brute force algorithm."""
      test_n_neighbors = 42
      scikit_model = KNeighborsClassifier(
          algorithm="auto", n_neighbors=test_n_neighbors
      )
      scikit_model.fit(self.iris_X, self.iris_y)
  
      coreml_model = sklearn.convert(
          scikit_model, "single_input", "single_output"
      )
      coreml_spec = coreml_model.get_spec()
      self.assertIsNotNone(coreml_spec)
  
file_path: turicreate/src/external/coremltools_wrap/coremltools/coremltools/test/sklearn_tests/test_k_neighbors_classifier.py
imports: import unittest
  import numpy
  from scipy import sparse
  from coremltools._deps import _HAS_SKLEARN
label_desc: Use image node_id 5 for calling the KNeighborsClassifierScikitTest obj's underlying member method code with example usage: obj.test_conversion_auto_algorithm() without return types