class_docstr: PUBDEV-1843: Grid testing.  Subtask 5.
  
  This class is created to test the gridsearch for kmeans algo over differ validation datasets.  Only one test
  is performed here.
  
  Test Descriptions:
      a. choose a fixed set of parameters to use in the hyper-parameters for gridsearch.  However, must grid over
         the validation_frame parameter.
      b. Next, build H2O kmeans models using grid search and check out the performance metrics with the different
         validation datasets.
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code: def __init__(self):
      self.setup_data()
  
file_path: h2o-3/h2o-py/dynamic_tests/testdir_algos/kmeans/pyunit_NOFEATURE_kmeans_gridsearch_over_validation_frame.py
imports: import sys
  import os
  from builtins import range
  import time
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.kmeans import H2OKMeansEstimator
  from h2o.grid.grid_search import H2OGridSearch
label_desc: Use image node_id 1 to create a new Test_kmeans_grid_search object  with example: obj = Test_kmeans_grid_search()