LabelAssigner (Carrot2, Public Java API v4.1.0 (org.carrot2:core))

All Superinterfaces:

AcceptingVisitor

All Known Implementing Classes:

SimpleLabelAssigner, UniqueLabelAssigner
```
public interface LabelAssigner
extends AcceptingVisitor
```
Assigns labels to base vectors obtained from the factorization.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`void`	`assignLabels(LingoProcessingContext context, org.carrot2.math.mahout.matrix.DoubleMatrix2D stemCos, com.carrotsearch.hppc.IntIntHashMap filteredRowToStemIndex, org.carrot2.math.mahout.matrix.DoubleMatrix2D phraseCos)`	Assigns labels to base vectors found by the matrix factorization.

Methods inherited from interface org.carrot2.attrs.AcceptingVisitor
accept

- Method Detail
  - assignLabels
```
void assignLabels(LingoProcessingContext context,
                  org.carrot2.math.mahout.matrix.DoubleMatrix2D stemCos,
                  com.carrotsearch.hppc.IntIntHashMap filteredRowToStemIndex,
                  org.carrot2.math.mahout.matrix.DoubleMatrix2D phraseCos)
```
    Assigns labels to base vectors found by the matrix factorization. The results must be stored in the LingoProcessingContext.clusterLabelFeatureIndex and LingoProcessingContext.clusterLabelScore arrays.
    
    Parameters:
    
    context - contains all information about the current clustering request
    
    stemCos - base vector -- single stems cosine matrix
    
    filteredRowToStemIndex - mapping between row indices of stemCos and indices of stems in PreprocessingContext.allStems
    
    phraseCos - base vector -- phrase cosine matrix