List of doing() Examples

Examples of doing()

edu.stanford.nlp.util.Timing.doing()
Print the start of timing message to stderr and start the timer.

Examples of edu.stanford.nlp.util.Timing.doing()


  static final int MINIMIZER = 3;


  public void executeOneTrainingBatch(List<Tree> trainingBatch, IdentityHashMap<Tree, byte[]> compressedParses, double[] sumGradSquare) {
    Timing convertTiming = new Timing();
    convertTiming.doing("Converting trees");
    IdentityHashMap<Tree, List<Tree>> topParses = CacheParseHypotheses.convertToTrees(trainingBatch, compressedParses, op.trainOptions.trainingThreads);
    convertTiming.done();


    DVParserCostAndGradient gcFunc = new DVParserCostAndGradient(trainingBatch, topParses, dvModel, op);
    double[] theta = dvModel.paramsToVector();

View Full Code Here

Examples of edu.stanford.nlp.util.Timing.doing()

          source = config.getProperty("model");
        }
        if (source == null) {
          source = "data stream";
        }
        t.doing("Reading POS tagger model from " + source);
      }
      TaggerConfig taggerConfig = TaggerConfig.readConfig(rf);
      if (config != null) {
        taggerConfig.setProperties(config);
      }

View Full Code Here

Examples of edu.stanford.nlp.util.Timing.doing()

    }


    // Some optimization methods prints out a line without an end, so our
    // debugging statements are misaligned
    Timing scoreTiming = new Timing();
    scoreTiming.doing("Scoring trees");
    int treeNum = 0;
    MulticoreWrapper<Tree, Pair<DeepTree, DeepTree>> wrapper = new MulticoreWrapper<Tree, Pair<DeepTree, DeepTree>>(op.trainOptions.trainingThreads, new ScoringProcessor());
    for (Tree tree : trainingBatch) {
      wrapper.put(tree);
    }

View Full Code Here

Examples of edu.stanford.nlp.util.Timing.doing()


  private static MaxentTagger loadModel(String loc, boolean verbose) {
    Timing timer = null;
    if (verbose) {
      timer = new Timing();
      timer.doing("Loading POS Model [" + loc + ']');
    }
    MaxentTagger tagger = new MaxentTagger(loc);
    if (verbose) {
      timer.done();
    }

View Full Code Here

Examples of edu.stanford.nlp.util.Timing.doing()

   *  @throws ClassNotFoundException If serialization errors
   */
  protected static TaggerConfig readModelAndInit(TaggerConfig config, DataInputStream rf,
                                         boolean printLoading) throws IOException, ClassNotFoundException {
    Timing t = new Timing();
    if (printLoading) t.doing("Reading POS tagger model from " + config.getModel());
    // then init tagger
    init(config);
    TaggerConfig ret = TaggerConfig.readConfig(rf); // taggerconfig in file has already been put into config in constructor of TaggerConfig, so usually just read past it.


    xSize = rf.readInt();

View Full Code Here

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.