| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, |
| * software distributed under the License is distributed on an |
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| * KIND, either express or implied. See the License for the |
| * specific language governing permissions and limitations |
| * under the License. |
| */ |
| |
| package org.apache.uima.ruta.testing.ui.views.util; |
| |
| import java.util.Collection; |
| import java.util.HashMap; |
| |
| import org.apache.uima.cas.CAS; |
| import org.apache.uima.cas.FSIterator; |
| import org.apache.uima.cas.Feature; |
| import org.apache.uima.cas.FeatureStructure; |
| import org.apache.uima.cas.Type; |
| import org.apache.uima.cas.TypeSystem; |
| import org.apache.uima.cas.text.AnnotationFS; |
| import org.apache.uima.cas.text.AnnotationIndex; |
| import org.apache.uima.ruta.testing.evaluator.ICasEvaluator; |
| import org.apache.uima.ruta.testing.ui.views.TestCasData; |
| import org.apache.uima.ruta.testing.ui.views.evalDataTable.TypeEvalData; |
| |
| |
| public class EvalDataProcessor { |
| |
| public static void calculateEvaluatData(TestCasData data, CAS resultCas) { |
| data.setEvaluationStatus(true); |
| TypeSystem ts = resultCas.getTypeSystem(); |
| Type falsePositiveType = ts.getType(ICasEvaluator.FALSE_POSITIVE); |
| Type falseNegativeType = ts.getType(ICasEvaluator.FALSE_NEGATIVE); |
| Type truePositiveType = ts.getType(ICasEvaluator.TRUE_POSITIVE); |
| |
| Feature originalFeature = truePositiveType.getFeatureByBaseName("original"); |
| |
| int falsePositiveCount = resultCas.getAnnotationIndex(falsePositiveType).size(); |
| int falseNegativeCount = resultCas.getAnnotationIndex(falseNegativeType).size(); |
| int truePositiveCount = resultCas.getAnnotationIndex(truePositiveType).size(); |
| |
| data.setTruePositiveCount(truePositiveCount); |
| data.setFalsePositiveCount(falsePositiveCount); |
| data.setFalseNegativeCount(falseNegativeCount); |
| |
| HashMap<String, TypeEvalData> map = new HashMap<String, TypeEvalData>(); |
| |
| map.put(" Total", new TypeEvalData("Total", truePositiveCount, falsePositiveCount, |
| falseNegativeCount)); |
| |
| AnnotationIndex<AnnotationFS> index = resultCas.getAnnotationIndex(truePositiveType); |
| |
| FSIterator iter = index.iterator(); |
| |
| if (originalFeature != null) { |
| |
| while (iter.isValid()) { |
| AnnotationFS a = (AnnotationFS) iter.next(); |
| |
| FeatureStructure fs = a.getFeatureValue(originalFeature); |
| String typeName = fs.getType().getName(); |
| |
| if (map.containsKey(typeName)) { |
| TypeEvalData element = map.get(typeName); |
| int oldCount = element.getTruePositives(); |
| element.setTruePositives(oldCount + 1); |
| } else { |
| TypeEvalData newData = new TypeEvalData(typeName, 1, 0, 0); |
| map.put(typeName, newData); |
| } |
| } |
| |
| index = resultCas.getAnnotationIndex(falsePositiveType); |
| iter = index.iterator(); |
| |
| while (iter.isValid()) { |
| AnnotationFS a = (AnnotationFS) iter.next(); |
| |
| FeatureStructure fs = a.getFeatureValue(originalFeature); |
| String typeName = fs.getType().getName(); |
| |
| if (map.containsKey(typeName)) { |
| TypeEvalData element = map.get(typeName); |
| int oldCount = element.getFalsePositives(); |
| element.setFalsePositives(oldCount + 1); |
| } else { |
| TypeEvalData newData = new TypeEvalData(typeName, 0, 1, 0); |
| map.put(typeName, newData); |
| } |
| } |
| |
| index = resultCas.getAnnotationIndex(falseNegativeType); |
| iter = index.iterator(); |
| |
| while (iter.isValid()) { |
| AnnotationFS a = (AnnotationFS) iter.next(); |
| |
| FeatureStructure fs = a.getFeatureValue(originalFeature); |
| String typeName = fs.getType().getName(); |
| |
| if (map.containsKey(typeName)) { |
| TypeEvalData element = map.get(typeName); |
| int oldCount = element.getFalseNegatives(); |
| element.setFalseNegatives(oldCount + 1); |
| } else { |
| TypeEvalData newData = new TypeEvalData(typeName, 0, 0, 1); |
| map.put(typeName, newData); |
| } |
| } |
| |
| data.setTypeEvalData(map); |
| |
| Collection<TypeEvalData> col = map.values(); |
| for (TypeEvalData typeEvalData : col) { |
| typeEvalData.calcFOne(); |
| } |
| |
| return; |
| } |
| } |
| } |