class_docstr: Base class for missing values in supervised learning.
class_docstr_tok: ["Base","class","for","missing","values","in","supervised","learning","."]
code: def test_evaluate(self):
      if self.model is None:
          return
  
      model = self.model
      test_sf = self.test_sf.copy()
  
      # Should pass
      ev_train = model.evaluate(self.sf)
      ev_test = model.evaluate(test_sf)
      ev_test_one = model.evaluate(test_sf[0:1])
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import turicreate
  import array
  from turicreate.toolkits._main import ToolkitError
label_desc: Use image node_id 4 for calling the SupervisedLearningStringTargetBinary obj's underlying member method code with example usage: obj.test_evaluate() without return types