anchor.diff:  ]}
   ```
   
  -INFO: If you hit a breakpoint you are likely to get a connection timeout. To see the data that would 
  -have been returned, just place a breakpoint where the response is created or run the query with no 
  -breakpoints.
  +INFO: If you hit a breakpoint you are likely to get a connection timeout. To see
  +the data that would have been returned, just place a breakpoint where the
  +response is created or run the query with no breakpoints.
  
positive.code: Program Arguments: --engineInstanceId **replace_with_the_id_from_pio_train**
  ```
  
  ### Executing a query
  
  You can execute a query with the correct SDK. For a recommender 
  that has been trainted with the sample Movielens dataset prehaps the easiest query is a curl one. 
  Start by running or debuging your `deploy` config so the service is waiting for the query. Then go 
  to the "Terminal" tab at the very bottom of the IDEA window and enter the curl request:
  
  ```$ curl -H "Content-Type: application/json" -d '{ "user": "1", "num": 4 }' http://localhost:8000/queries.json```
  
  
negative.code: 
  ### Setting Up the Engine Directory
  
  INFO: It is very important to run at least `pio build` once in your engine
  directory so that the project correctly recognizes the version of PredictionIO
  that you are using. If you upgraded your PredictionIO installation later, you
  will need to run `pio build` again in order for the engine to pick up the latest
  version of PredictionIO.
  
  Create an engine directory from a template. This requires that you install a
  template that you wish to start from or modify.
  Follow template [install](/start/download) and [deploy](/start/deploy) instructions
  or go through the [Quick Start](/templates/recommendation/quickstart/) if you are
  planning to modify a recommender. Make sure to build, train, and deploy the
  engine to make sure all is configured properly.
  
  From IntelliJ IDEA, choose *File* > *New* > *Project from Existing Sources...*.
  When asked to select a directory to import, browse to the engine directory that you
  downloaded too and proceed. Make sure you pick *Import project from external model* > *SBT*,
  then proceed to finish.
  
  You should be able to build the project at this point. To run and debug
  