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package edu.isi.nlp.evaluation;

import com.google.common.base.Function;
import edu.isi.nlp.symbols.Symbol;
import java.util.Set;

/**
 * Represents a confusion matrix which only tracks counts. Asking for {@code #cell(x,y)} will give
 * you the number of times an object was assigned the label {@code x} by the "left system" but
 * {@code y} by the "right system". By convention, when comparing against a gold standard, the gold
 * standard is the "right system".
 *
 * 

To build one of these, see {@link SummaryConfusionMatrices#builder()}. * *

If you also want to track exactly what objects were confused instead of just the counts, you * want a {@link ProvenancedConfusionMatrix}. */ public interface SummaryConfusionMatrix { double cell(final Symbol row, final Symbol col); /** The left-hand labels of the confusion matrix. */ Set leftLabels(); /** The right hand labels of the confusion matrix. */ Set rightLabels(); double sumOfallCells(); double rowSum(Symbol row); double columnSum(Symbol column); SummaryConfusionMatrix filteredCopy(CellFilter filter); SummaryConfusionMatrix copyWithTransformedLabels(Function f); void accumulateTo(SummaryConfusionMatrices.Builder builder); interface CellFilter { boolean keepCell(Symbol row, Symbol column); } }





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