class_docstr: Unit test class for model creation process under various option values and
  types of input data.
class_docstr_tok: ["Unit","test","class","for","model","creation","process","under","various","option","values","and","types","of","input","data","."]
code: def setUpClass(self):
      self.sf = make_classifier_data(n=100, d=2, seed=19)
      self.verbose = False
      self.distance = [
          [
              ["int0", "int1", "float0", "float1", "array0"],
              "euclidean",
              1,
          ],
          [["int0", "int1"], "manhattan", 1.5],
          [["str0"], "levenshtein", 2],
          [["dict0"], "weighted_jaccard", 1.3],
      ]
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import copy
  import array
  import numpy
  import turicreate
  from .None import util
  from turicreate.util import _assert_sframe_equal
  from turicreate.toolkits._main import ToolkitError
  import sys
label_desc: Use image node_id 1 for calling the KnnClassifierCreateTest obj's underlying member method code with example usage: obj.setUpClass() without return types