@gen.coroutine<EOL><INDENT>@query_params('<STR_LIT>', '<STR_LIT>', '<STR_LIT>',<EOL>'<STR_LIT>', '<STR_LIT>', '<STR_LIT>',<EOL>'<STR_LIT>', '<STR_LIT>', '<STR_LIT>',<EOL>'<STR_LIT>', '<STR_LIT>', '<STR_LIT>',<EOL>'<STR_LIT>', '<STR_LIT>', '<STR_LIT>',<EOL>'<STR_LIT>', '<STR_LIT>', '<STR_LIT>', '<STR_LIT>')<EOL>def mlt(self, index, doc_type, id, body=None, params=None):<DEDENT>
_, data = yield self.transport.perform_request(<EOL>'<STR_LIT:GET>', _make_path(index, doc_type, id, '<STR_LIT>'),<EOL>params=params, body=body)<EOL>raise gen.Return(data)<EOL>
Get documents that are "like" a specified document.
`<http://elasticsearch.org/guide/reference/api/more-like-this/>`_

:arg index: The name of the index
:arg doc_type: The type of the document (use `_all` to fetch the first
    document matching the ID across all types)
:arg id: The document ID
:arg body: A specific search request definition
:arg boost_terms: The boost factor
:arg max_doc_freq: The word occurrence frequency as count: words with
    higher occurrence in the corpus will be ignored
:arg max_query_terms: The maximum query terms to be included in the
    generated query
:arg max_word_len: The minimum length of the word: longer words will
    be ignored
:arg min_doc_freq: The word occurrence frequency as count: words with
    lower occurrence in the corpus will be ignored
:arg min_term_freq: The term frequency as percent: terms with lower
    occurrence in the source document will be ignored
:arg min_word_len: The minimum length of the word: shorter words will
    be ignored
:arg mlt_fields: Specific fields to perform the query against
:arg percent_terms_to_match: How many terms have to match in order to
    consider the document a match (default: 0.3)
:arg routing: Specific routing value
:arg search_from: The offset from which to return results
:arg search_indices: A comma-separated list of indices to perform the
    query against (default: the index containing the document)
:arg search_query_hint: The search query hint
:arg search_scroll: A scroll search request definition
:arg search_size: The number of documents to return (default: 10)
:arg search_source: A specific search request definition (instead of
    using the request body)
:arg search_type: Specific search type (eg. `dfs_then_fetch`, `count`,
    etc)
:arg search_types: A comma-separated list of types to perform the query
    against (default: the same type as the document)
:arg stop_words: A list of stop words to be ignored