class_docstr: TopicModel objects can be used to predict the underlying topic of a
  document.
  
  This model cannot be constructed directly.  Instead, use
  :func:`turicreate.topic_model.create` to create an instance
  of this model. A detailed list of parameter options and code samples
  are available in the documentation for the create function.
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docstr: Return the value of a given field. The list of all queryable fields is
  detailed below, and can be obtained with the
  :py:func:`~TopicModel._list_fields` method.
  
  +-----------------------+----------------------------------------------+
  |      Field            | Description                                  |
  +=======================+==============================================+
  | topics                | An SFrame containing a column with the unique|
  |                       | words observed during training, and a column |
  |                       | of arrays containing the probability values  |
  |                       | for each word given each of the topics.      |
  +-----------------------+----------------------------------------------+
  | vocabulary            | An SArray containing the words used. This is |
  |                       | same as the vocabulary column in the topics  |
  |                       | field above.                                 |
  +-----------------------+----------------------------------------------+
  
  Parameters
  ----------
  field : string
      Name of the field to be retrieved.
  
  Returns
  -------
  out
      Value of the requested field.
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code: def _get(self, field):
      """
      Return the value of a given field. The list of all queryable fields is
      detailed below, and can be obtained with the
      :py:func:`~TopicModel._list_fields` method.
  
      +-----------------------+----------------------------------------------+
      |      Field            | Description                                  |
      +=======================+==============================================+
      | topics                | An SFrame containing a column with the unique|
      |                       | words observed during training, and a column |
      |                       | of arrays containing the probability values  |
      |                       | for each word given each of the topics.      |
      +-----------------------+----------------------------------------------+
      | vocabulary            | An SArray containing the words used. This is |
      |                       | same as the vocabulary column in the topics  |
      |                       | field above.                                 |
      +-----------------------+----------------------------------------------+
  
      Parameters
      ----------
      field : string
          Name of the field to be retrieved.
  
      Returns
      -------
      out
          Value of the requested field.
      """
  
      opts = {"model": self.__proxy__, "field": field}
      response = _turicreate.extensions._text.topicmodel_get_value(opts)
      return response["value"]
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import turicreate
  from turicreate.toolkits._model import Model
  from turicreate.data_structures.sframe import SFrame
  from turicreate.data_structures.sarray import SArray
  from turicreate.toolkits.text_analytics._util import _check_input
  from turicreate.toolkits.text_analytics._util import random_split
  from turicreate.toolkits._internal_utils import _check_categorical_option_type, _precomputed_field, _toolkit_repr_print
  import sys
  import operator
  import array
label_desc: Use image node_id 6 for calling the TopicModel obj's underlying member method code with example usage: obj._get(field) and returns: response