def create_training_example(self,
                                environment_id,
                                collection_id,
                                query_id,
                                document_id=None,
                                cross_reference=None,
                                relevance=None,
                                **kwargs):
        """
        Add example to training data query.

        Adds a example to this training data query.

        :param str environment_id: The ID of the environment.
        :param str collection_id: The ID of the collection.
        :param str query_id: The ID of the query used for training.
        :param str document_id: The document ID associated with this training example.
        :param str cross_reference: The cross reference associated with this training
        example.
        :param int relevance: The relevance of the training example.
        :param dict headers: A `dict` containing the request headers
        :return: A `DetailedResponse` containing the result, headers and HTTP status code.
        :rtype: DetailedResponse
        """

        if environment_id is None:
            raise ValueError('environment_id must be provided')
        if collection_id is None:
            raise ValueError('collection_id must be provided')
        if query_id is None:
            raise ValueError('query_id must be provided')

        headers = {}
        if 'headers' in kwargs:
            headers.update(kwargs.get('headers'))
        sdk_headers = get_sdk_headers('discovery', 'V1',
                                      'create_training_example')
        headers.update(sdk_headers)

        params = {'version': self.version}

        data = {
            'document_id': document_id,
            'cross_reference': cross_reference,
            'relevance': relevance
        }

        url = '/v1/environments/{0}/collections/{1}/training_data/{2}/examples'.format(
            *self._encode_path_vars(environment_id, collection_id, query_id))
        response = self.request(
            method='POST',
            url=url,
            headers=headers,
            params=params,
            json=data,
            accept_json=True)
        return response
Add example to training data query.

        Adds a example to this training data query.

        :param str environment_id: The ID of the environment.
        :param str collection_id: The ID of the collection.
        :param str query_id: The ID of the query used for training.
        :param str document_id: The document ID associated with this training example.
        :param str cross_reference: The cross reference associated with this training
        example.
        :param int relevance: The relevance of the training example.
        :param dict headers: A `dict` containing the request headers
        :return: A `DetailedResponse` containing the result, headers and HTTP status code.
        :rtype: DetailedResponse