@ Override public double [ ] feature ( T [ ] x ) { double [ ] bag = new double [ features . size ( ) ] ; if ( binary ) { for ( T word : x ) { Integer f = features . get ( word ) ; if ( f != null ) { bag [ f ] = 1.0 ; } } } else { for ( T word : x ) { Integer f = features . get ( word ) ; if ( f != null ) { bag [ f ] ++ ; } } } return bag ; }
Returns the bag - of - words features of a document . The features are real - valued in convenience of most learning algorithms although they take only integer or binary values .