0

I want to train a model that will allow me to generat a LIST of tag related to certain text, my output list will have variable size depending in the context. In the examples that i found, the model return always one output. I am wondering if the Google prediction Api can help me and if there are any examples.

Mohammed Ali Kachbouri
  • 43
  • 7
  • Possible duplicate: http://stackoverflow.com/questions/15377290/unsupervised-automatic-tagging-algorithms – sashkello Jan 30 '14 at 01:27

1 Answers1

1

It seems this is what you will get when using a CATEGORICAL rather than a REGRESSION model. From the Google documentation: https://developers.google.com/prediction/docs/developer-guide#examples

When you submit a query, the API tries to find the category that most closely describes your query. In the Hello World example, the query "mucho bueno" returns the result

...Most likely: Spanish, Full results: 

[
  {"label":"French","score":-46.33},
  {"label":"Spanish","score":-16.33},
  {"label":"English","score":-33.08}
]
user427875
  • 1,245
  • 2
  • 11
  • 16