Does elasticsearch explain API support More like this query?

Question

I was able to get explanations for my more like this query results using elasticsearch Explain API. However, I'm failing to achieve the same in python because apparently explain does not support More like this. Here is what I've tried.

def execute_mlt_query(self, like_text, field, min_term_freq=1, min_doc_freq=1):
        s = Search(using=self.client, index=self.index_name)

        # Build the MLT query dynamically
        mlt_query = Q("more_like_this", fields=[field], like=like_text, min_term_freq=min_term_freq, min_doc_freq=min_doc_freq)

        s = s.query(mlt_query) 
        result = s.execute() 

        return self.get_docs_from_hits(result,mlt_query)

 def get_docs_from_hits(self, result, mlt_query):
        for hit in result:
            self.similar_documents.append({
                "doc_id": hit.meta.id,
                "score": hit.meta.score,
                "label": hit.to_dict()['yes'],
               
            })
            
              explanation = self.client.explain(self.client,  index=self.index_name, doc_type="_doc", id=hit.meta.id, body=mlt_query.to_dict())
            print(explanation)
         

But I get this error.

raise HTTP_EXCEPTIONS.get(status_code, TransportError)( elasticsearch.exceptions.RequestError: RequestError(400, 'parsing_exception', 'request does not support [more_like_this]')

Here is what I'm trying to achieve but in python

import org.apache.lucene.search.Explanation;
import org.elasticsearch.action.explain.ExplainRequest;
import org.elasticsearch.action.explain.ExplainResponse;

ExplainRequest request = new ExplainRequest(ESQuery.index_name, "_doc", hit.getId());
request.query(QueryBuilders.moreLikeThisQuery(fields,texts,null).minTermFreq(1));
ExplainResponse response = client.explain(request, RequestOptions.DEFAULT);
Explanation explanation = response.getExplanation(); 
String exp_str = explanation.toString();

Answer 1

Elasticsearch explain API supports MLT query. I got explanations using following code in python.

1. First Build the MLT query dynamically

mlt_query = Q("more_like_this", fields=[field], like=like_text, min_term_freq=min_term_freq, min_doc_freq=min_doc_freq)

s = Search(using=self.client, index=self.index_name)
s = s.query(mlt_query)

2. Use the explain method on the Search object

explanation = s.params(explain=True).execute()

Print the explanation for each hit using hit.meta.explanation