class_docstr: Unit test class for an already trained Kmeans model.
code: def setUp(self):
      self.n = 100
      self.dim = 3
      self.K = 10
      self.max_iter = 10
      self.sf = make_clustering_data(n=self.n, d=self.dim, seed=8)
      self.model = tc.kmeans.create(
          self.sf,
          num_clusters=self.K,
          max_iterations=self.max_iter,
          batch_size=None,
          verbose=False,
      )
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import copy
  import numpy
  from numpy.testing import assert_allclose
  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 KmeansModelTest obj's underlying member method code with example usage: obj.setUp() without return types