class_docstr: PUBDEV-2980: kmeans return the field model._model_json['output']['summary']
  as null sometimes.  Normally, it is twoDimensionTable.  Sometimes, it is None.
  
  
  This class is created to train a kmeans model with different parameters settings and re-create two
  models with different field type for debugging purposes.
class_docstr_tok: ["PUBDEV-2980",":","kmeans","return","the","field","model._model_json","[","'output","'","]","[","'summary","'","]","as","null","sometimes",".","Normally",",","it","is","twoDimensionTable",".","Sometimes",",","it","is","None",".","This","class","is","created","to","train","a","kmeans","model","with","different","parameters","settings","and","re-create","two","models","with","different","field","type","for","debugging","purposes","."]
code: def __init__(self):
      self.setup_data()
  
file_path: h2o-3/h2o-py/dynamic_tests/testdir_algos/kmeans/pyunit_PUBDEV_2980_kmeans_badfields_NOPASS.py
imports: import sys
  import random
  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_PUBDEV_2980_kmeans object  with example: obj = Test_PUBDEV_2980_kmeans()