class_docstr: Unit test class for testing scikit-learn converter.
class_docstr_tok: ["Unit","test","class","for","testing","scikit-learn","converter","."]
docstr: Validate the labels returned from the converted scikit KNeighborsClassifier
docstr_tok: ["Validate","the","labels","returned","from","the","converted","scikit","KNeighborsClassifier"]
code: def validate_labels(self, spec, expected):
      """Validate the labels returned from the converted scikit KNeighborsClassifier"""
      self.assertTrue(
          spec.kNearestNeighborsClassifier.HasField("int64ClassLabels")
      )
      for index, label in enumerate(
          spec.kNearestNeighborsClassifier.int64ClassLabels.vector
      ):
          self.assertEqual(label, expected[index])
  
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 13 for calling the KNeighborsClassifierScikitTest obj's underlying member method code with example usage: obj.validate_labels(spec, expected) without return types