Start line:  
End line:  

Snippet Preview

Snippet HTML Code

Stack Overflow Questions
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.ctakes.temporal.ae.feature.duration;
import  org.cleartk.ml.Feature;
import  org.cleartk.ml.feature.extractor.CleartkExtractorException;
import  org.cleartk.ml.feature.extractor.FeatureExtractor1;
public class DurationExpectationFeatureExtractor implements FeatureExtractor1 {
  public List<Feature> extract(JCas viewAnnotation annotationthrows CleartkExtractorException { 
    List<Feature> features = new ArrayList<>();
    File durationLookup = new File(.);
    
    String eventText;
    try {
      eventText = Utils.normalizeEventText(viewannotation);
    } catch (AnalysisEngineProcessException e1) {
      e1.printStackTrace();
      return features;
    } 
    
    Map<StringMap<StringFloat>> textToDistribution = null;
    try {
      textToDistribution = Files.readLines(durationLookup.new Utils.Callback());
    } catch(IOException e) {
      e.printStackTrace();
      return features;
    }
    
    Map<StringFloateventDistribution = textToDistribution.get(eventText);
    if(eventDistribution == null) {
      features.add(new Feature("no_duration_info"));
      return features;
    }
    
    float expectation = Utils.expectedDuration(eventDistribution);
    features.add(new Feature("expected_duration"expectation));
    
    for(String bin : .) {
      features.add(new Feature(bineventDistribution.get(bin)));
    }
    String largestBin = null;
    float largestValue = 0f;
    for(String bin : .) {
      if(eventDistribution.get(bin) > largestValue) {
        largestBin = bin;
        largestValue = eventDistribution.get(bin);
      }
    }
    features.add(new Feature("largest_bin_" + largestBin));
    
    return features;
  }
New to GrepCode? Check out our FAQ X