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java.lang.Objectopennlp.tools.util.eval.FMeasure
public final class FMeasure
The FMeasure is an utility class for evaluators
which measure precision, recall and the resulting f-measure.
Evaluation results are the arithmetic mean of the precision
scores calculated for each reference sample and
the arithmetic mean of the recall scores calculated for
each reference sample.
| Constructor Summary | |
|---|---|
FMeasure()
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| Method Summary | |
|---|---|
double |
getFMeasure()
Retrieves the f-measure score. |
double |
getPrecisionScore()
Retrieves the arithmetic mean of the precision scores calculated for each evaluated sample. |
double |
getRecallScore()
Retrieves the arithmetic mean of the recall score calculated for each evaluated sample. |
void |
mergeInto(FMeasure measure)
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static double |
precision(Object[] references,
Object[] predictions)
Calculates the precision score for the given reference and predicted spans. |
static double |
recall(Object[] references,
Object[] predictions)
Calculates the recall score for the given reference and predicted spans. |
String |
toString()
Creates a human read-able String representation. |
void |
updateScores(Object[] references,
Object[] predictions)
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| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public FMeasure()
| Method Detail |
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public double getPrecisionScore()
public double getRecallScore()
public double getFMeasure()
public void updateScores(Object[] references,
Object[] predictions)
public void mergeInto(FMeasure measure)
public String toString()
String representation.
toString in class Object
public static double precision(Object[] references,
Object[] predictions)
references - the gold standard spanspredictions - the predicted spans
public static double recall(Object[] references,
Object[] predictions)
references - the gold standard spanspredictions - the predicted spans
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