Examples of FMeasure

opennlp.tools.util.eval.FMeasure
The {@link FMeasure} is an utility class for evaluatorswhich 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.

Examples of opennlp.tools.util.eval.FMeasure

    ChunkerEvaluationMonitor listener = new ChunkEvaluationErrorListener(stream);
    ChunkerEvaluator evaluator = new ChunkerEvaluator(dummyChunker, listener);


    evaluator.evaluate(expectedSample);


    FMeasure fm = evaluator.getFMeasure();


    assertEquals(0.8d, fm.getPrecisionScore(), DELTA);
    assertEquals(0.875d, fm.getRecallScore(), DELTA);


    assertNotSame(stream.toString().length(), 0);


  }

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Examples of opennlp.tools.util.eval.FMeasure

        stream);
    ChunkerEvaluator evaluator = new ChunkerEvaluator(dummyChunker, listener);


    evaluator.evaluate(expectedSample);


    FMeasure fm = evaluator.getFMeasure();


    assertEquals(1d, fm.getPrecisionScore(), DELTA);
    assertEquals(1d, fm.getRecallScore(), DELTA);


    assertEquals(stream.toString().length(), 0);


  }

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Examples of opennlp.tools.util.eval.FMeasure

    Span[] goldConsts = getConstituencySpans(Parse.parseParse(goldParseString));


    String testParseString = "(TOP (S (NP (NNS Sales) (NNS executives)) (VP (VBD were) (VP (VBG examing) (NP (DT the) (NNS figures)) (PP (IN with) (NP (JJ great) (NN care) (NN yesterday))) ))  (. .) ))";
    Span[] testConsts = getConstituencySpans(Parse.parseParse(testParseString));


    FMeasure measure = new FMeasure();
    measure.updateScores(goldConsts, testConsts);


    // Expected output:
    // Precision: 0.42857142857142855
    // Recall: 0.375
    // F-Measure: 0.39999999999999997


    System.out.println(measure.toString());
  }

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Examples of opennlp.tools.util.eval.FMeasure

          if (preds[i].equals(tag)) {
            prediction.add(new Span(i, i + 1));
          }
        }
        if (!this.tagFMeasure.containsKey(tag)) {
          this.tagFMeasure.put(tag, new FMeasure());
        }
        // populate the fmeasure
        this.tagFMeasure.get(tag).updateScores(
            reference.toArray(new Span[reference.size()]),
            prediction.toArray(new Span[prediction.size()]));

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Examples of opennlp.tools.util.eval.FMeasure

          if (preds[i].equals(tag)) {
            prediction.add(new Span(i, i + 1));
          }
        }
        if (!this.tagFMeasure.containsKey(tag)) {
          this.tagFMeasure.put(tag, new FMeasure());
        }
        // populate the fmeasure
        this.tagFMeasure.get(tag).updateScores(
            reference.toArray(new Span[reference.size()]),
            prediction.toArray(new Span[prediction.size()]));

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Examples of opennlp.tools.util.eval.FMeasure

      } catch (IOException e) {
        // sorry that this can fail
      }
    }


    FMeasure result = validator.getFMeasure();


    System.out.println(result.toString());
  }

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Examples of opennlp.tools.util.eval.FMeasure

      } catch (IOException e) {
        // sorry that this can fail
      }
    }


    FMeasure result = validator.getFMeasure();


    System.out.println(result.toString());
  }

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Examples of opennlp.tools.util.eval.FMeasure

        // sorry that this can fail
      }
    }


    if (detailedFMeasureListener == null) {
      FMeasure result = validator.getFMeasure();
      System.out.println(result.toString());
    } else {
      System.out.println(detailedFMeasureListener.toString());
    }
  }

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Examples of opennlp.tools.util.eval.FMeasure

        nameFinder, new NameEvaluationErrorListener());
    ObjectStream<NameSample> sample = createSample();


    evaluator.evaluate(sample);
    sample.close();
    FMeasure fmeasure = evaluator.getFMeasure();


    assertTrue(fmeasure.getFMeasure() == 1);
    assertTrue(fmeasure.getRecallScore() == 1);
  }

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Examples of opennlp.tools.util.eval.FMeasure

      } catch (IOException e) {
        // sorry that this can fail
      }
    }
    
    FMeasure result = validator.getFMeasure();
    
    System.out.println(result.toString());
  }

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