Example usage for edu.stanford.nlp.ie.crf CRFClassifier printLabelInformation

Introduction

In this page you can find the example usage for edu.stanford.nlp.ie.crf CRFClassifier printLabelInformation.

Prototype

public void printLabelInformation(String testFile, DocumentReaderAndWriter<IN> readerAndWriter)
            throws Exception 

Source Link

Usage

From source file:edu.cmu.geolocator.nlp.ner.StanfordCRF.CRF_Learn.java

License:Apache License

public static void main(String[] argc) throws Exception {
    //StringUtils.printErrInvocationString("CRFClassifier", args);

    String[] args = new String[2];
    args[0] = "-prop";
    args[1] = "src/edu/cmu/geoparser/nlptools/ner/StanfordCRF/train.prop";

    Properties props = StringUtils.argsToProperties(args);
    CRFClassifier<CoreLabel> crf = new CRFClassifier<CoreLabel>(props);
    String testFile = crf.flags.testFile;
    String testFiles = crf.flags.testFiles;
    String textFile = crf.flags.textFile;
    String textFiles = crf.flags.textFiles;
    String loadPath = crf.flags.loadClassifier;
    String loadTextPath = crf.flags.loadTextClassifier;
    String serializeTo = crf.flags.serializeTo;
    String serializeToText = crf.flags.serializeToText;

    if (loadPath != null) {
        crf.loadClassifierNoExceptions(loadPath, props);
    } else if (loadTextPath != null) {
        System.err.println("Warning: this is now only tested for Chinese Segmenter");
        System.err.println("(Sun Dec 23 00:59:39 2007) (pichuan)");
        try {//from   w ww  .j a va 2s .  c om
            crf.loadTextClassifier(loadTextPath, props);
            // System.err.println("DEBUG: out from crf.loadTextClassifier");
        } catch (Exception e) {
            throw new RuntimeException("error loading " + loadTextPath, e);
        }
    } else if (crf.flags.loadJarClassifier != null) {
        crf.loadJarClassifier(crf.flags.loadJarClassifier, props);
    } else if (crf.flags.trainFile != null || crf.flags.trainFileList != null) {

        //Wei Zhang: This is where the program starts to train.
        crf.train();
        ////////////

    } else {
        crf.loadDefaultClassifier();
    }

    // System.err.println("Using " + crf.flags.featureFactory);
    // System.err.println("Using " +
    // StringUtils.getShortClassName(crf.readerAndWriter));

    if (serializeTo != null) {

        //Wei Zhang: This is used.
        crf.serializeClassifier(serializeTo);
        /////////////////////////
    }

    if (serializeToText != null) {
        crf.serializeTextClassifier(serializeToText);
    }

    if (testFile != null) {
        DocumentReaderAndWriter<CoreLabel> readerAndWriter = crf.defaultReaderAndWriter();
        if (crf.flags.searchGraphPrefix != null) {
            crf.classifyAndWriteViterbiSearchGraph(testFile, crf.flags.searchGraphPrefix,
                    crf.makeReaderAndWriter());
        } else if (crf.flags.printFirstOrderProbs) {
            crf.printFirstOrderProbs(testFile, readerAndWriter);
        } else if (crf.flags.printProbs) {
            crf.printProbs(testFile, readerAndWriter);
        } else if (crf.flags.useKBest) {
            int k = crf.flags.kBest;
            crf.classifyAndWriteAnswersKBest(testFile, k, readerAndWriter);
        } else if (crf.flags.printLabelValue) {
            crf.printLabelInformation(testFile, readerAndWriter);
        } else {
            crf.classifyAndWriteAnswers(testFile, readerAndWriter);
        }
    }

    if (testFiles != null) {
        List<File> files = new ArrayList<File>();
        for (String filename : testFiles.split(",")) {
            files.add(new File(filename));
        }
        crf.classifyAndWriteAnswers(files, crf.defaultReaderAndWriter());
    }

    if (textFile != null) {
        crf.classifyAndWriteAnswers(textFile);
    }

    if (textFiles != null) {
        List<File> files = new ArrayList<File>();
        for (String filename : textFiles.split(",")) {
            files.add(new File(filename));
        }
        crf.classifyAndWriteAnswers(files);
    }

    if (crf.flags.readStdin) {
        crf.classifyStdin();
    }
}

---