Options.java
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package is2.util;
import java.io.File;
public final class Options extends OptionsSuper {
public Options(String[] args) {
for (int i = 0; i < args.length; i++) {
String[] pair = args[i].split(":");
if (pair[0].equals("--help"))
explain();
else if (pair[0].equals("-train")) {
train = true;
trainfile = args[i + 1];
} else if (pair[0].equals("-eval")) {
eval = true;
goldfile = args[i + 1];
i++;
} else if (pair[0].equals("-test")) {
test = true;
testfile = args[i + 1];
i++;
} else if (pair[0].equals("-i")) {
numIters = Integer.parseInt(args[i + 1]);
i++;
} else if (pair[0].equals("-out")) {
outfile = args[i + 1];
i++;
} else if (pair[0].equals("-decode")) {
decodeProjective = args[i + 1].equals("proj");
i++;
} else if (pair[0].equals("-confidence")) {
conf = true;
}
else if (pair[0].equals("-count")) {
count = Integer.parseInt(args[i + 1]);
i++;
} else if (pair[0].equals("-model")) {
modelName = args[i + 1];
i++;
} else if (pair[0].equals("-device")) {
device = args[i + 1];
i++;
} else if (pair[0].equals("-tmp")) {
tmp = args[i + 1];
i++;
} else if (pair[0].equals("-format")) {
// format = args[i+1];
formatTask = Integer.parseInt(args[i + 1]);
i++;
} else if (pair[0].equals("-allfeatures")) {
allFeatures = true;
} else if (pair[0].equals("-nonormalize")) {
normalize = false;
} else if (pair[0].equals("-nframes")) {
// format = args[i+1];
nbframes = args[i + 1];
i++;
} else if (pair[0].equals("-pframes")) {
// format = args[i+1];
pbframes = args[i + 1];
i++;
} else if (pair[0].equals("-nopred")) {
nopred = true;
} else if (pair[0].equals("-divide")) {
keep = true;
} else if (pair[0].equals("-lexicon")) {
lexicon = args[i + 1];
i++;
} else
super.addOption(args, i);
}
try {
if (trainfile != null) {
if (keep && tmp != null) {
trainforest = new File(tmp);
if (!trainforest.exists())
keep = false;
} else if (tmp != null) {
trainforest = File.createTempFile("train", ".tmp", new File(tmp));
trainforest.deleteOnExit();
} else {
trainforest = File.createTempFile("train", ".tmp"); // ,new
// File("F:\\")
trainforest.deleteOnExit();
}
}
} catch (java.io.IOException e) {
System.out.println("Unable to create tmp files for feature forests!");
System.out.println(e);
System.exit(0);
}
}
private void explain() {
System.out.println("Usage: ");
System.out.println("java -class mate.jar is2.parser.Parser [Options]");
System.out.println();
System.out.println("Example: ");
System.out.println(
" java -class mate.jar is2.parser.Parser -model eps3.model -train corpora/conll08st/train/train.closed -test corpora/conll08st/devel/devel.closed -out b3.test -eval corpora/conll08st/devel/devel.closed -count 2000 -i 6");
System.out.println("");
System.out.println("Options:");
System.out.println("");
System.out.println(" -train <file> the corpus a model is trained on; default " + this.trainfile);
System.out.println(" -test <file> the input corpus for testing; default " + this.testfile);
System.out.println(" -out <file> the output corpus (result) of a test run; default " + this.outfile);
System.out.println(" -model <file> the parsing model for traing the model is stored in the files");
System.out.println(
" and for parsing the model is load from this file; default " + this.modelName);
System.out.println(
" -i <number> the number of training iterations; good numbers are 10 for smaller corpora and 6 for bigger; default "
+ this.numIters);
System.out.println(" -count <number> the n first sentences of the corpus are take for the training default "
+ this.count);
System.out.println(" -format <number> conll format of the year 8 or 9; default " + this.formatTask);
System.exit(0);
}
}