Open sridhar-natuva opened 8 years ago
Just like machine learning, you should train Watson at first, so you need training data, in this tutorial it's csv file By the way, RR needs pool to search something, in this tutorial it's cranfield-data.json.
You should read carefully this DOC, then you will grasp the point.
you have added documents(to cluster) from cranfield-data.json right? and
what is "184","3","29","3","31","3","12","2","51","2","102","2","13","1","14","1","15","1","57","3","378","3","859","3","185","2","30","2","37","2","52","1","142","1","195","1","875","3","56","2","66","2","95","2","462","1","497","2","858","2","876","2","879","2","880","2","486","0"
this numbers implies in CSV file?
format: "Question", {"doc_id": "rating"} (a dictionary which is mapping to json document and length is not fixed.)
in your example, "what's the weather" imply that doc_id:184 get 3 point and doc_id:29 get 3 point.
what is answer.csv file. what is training.csv file.. what is the ranker_meta.json files
and what i data i need to add into these files?