# SPARQL object regression examples
<a name="machine-learning-sparql-inference-object-regression"></a>

Object regression is similar to object classification, except that a numerical predicate value inferred from the regression model for each node. You can use the same SPARQL queries for object regression as for object classification with the exception that `the Neptune#ml.limit` and `Neptune#ml.threshold` predicates are not applicable.

The following query seeks to predict the <http://www.example.org/accountbalance> predicate value for all the inputs of type `foaf:Person`:

```
SELECT * WHERE { ?input a foaf:Person .
  SERVICE neptune-ml:inference {
    neptune-ml:config neptune-ml:modelType 'OBJECT_REGRESSION' ;
                      neptune-ml:input ?input ;
                      neptune-ml:predicate <http://www.example.org/accountbalance> ;
                      neptune-ml:output ?output .
  }
}
```

This query can be customized as follows:

```
SELECT * WHERE { ?input a foaf:Person .
  SERVICE neptune-ml:inference {
    neptune-ml:config neptune-ml:endpoint 'node-prediction-account-balance-endpoint' ;
                      neptune-ml:iamRoleArn 'arn:aws:iam::0123456789:role/sagemaker-role' ;

                      neptune-ml:batchSize "40"^^xsd:integer ;
                      neptune-ml:timeout "1000"^^xsd:integer ;

                      neptune-ml:modelType 'OBJECT_REGRESSION' ;
                      neptune-ml:input ?input ;
                      neptune-ml:predicate <http://www.example.org/accountbalance> ;
                      neptune-ml:output ?output .
  }
}
```