public void train(int[] instanceLengths, String trainfile, File train_forest) throws IOException {
// System.out.print("About to train. ");
// System.out.print("Num Feats: " + pipe.dataAlphabet.size());
int i = 0;
for (i = 0; i < options.numIters; i++) {
System.out.print(" Iteration " + i);
// System.out.println("========================");
// System.out.println("Iteration: " + i);
// System.out.println("========================");
System.out.print("[");
long start = System.currentTimeMillis();
trainingIter(instanceLengths, trainfile, train_forest, i + 1);
long end = System.currentTimeMillis();
// System.out.println("Training iter took: " + (end-start));
System.out.println("|Time:" + (end - start) + "]");
}
params.averageParams(i * instanceLengths.length);
}
//////////////////////////////////////////////////////
// Get Best Parses ///////////////////////////////////
//////////////////////////////////////////////////////
public void outputParses() throws IOException {
String tFile = options.testfile;
String file = options.outfile;
long start = System.currentTimeMillis();
pipe.initInputFile(tFile);
pipe.initOutputFile(file);
System.out.print("Processing Sentence: ");
DependencyInstance instance = pipe.nextInstance();
int cnt = 0;
while (instance != null) {
cnt++;
System.out.print(cnt + " ");
String[] forms = instance.forms;
int length = forms.length;
FeatureVector[][][] fvs = new FeatureVector[forms.length][forms.length][2];
double[][][] probs = new double[forms.length][forms.length][2];
FeatureVector[][][][] nt_fvs = new FeatureVector[forms.length][pipe.types.length][2][2];
double[][][][] nt_probs = new double[forms.length][pipe.types.length][2][2];
FeatureVector[][][] fvs_trips = new FeatureVector[length][length][length];
double[][][] probs_trips = new double[length][length][length];
FeatureVector[][][] fvs_sibs = new FeatureVector[length][length][2];
double[][][] probs_sibs = new double[length][length][2];
if (options.secondOrder)
((DependencyPipe2O) pipe)
.fillFeatureVectors(
instance,
fvs,
probs,
fvs_trips,
probs_trips,
fvs_sibs,
probs_sibs,
nt_fvs,
nt_probs,
params);
else pipe.fillFeatureVectors(instance, fvs, probs, nt_fvs, nt_probs, params);
int K = options.testK;
Object[][] d = null;
if (options.decodeType.equals("proj")) {
if (options.secondOrder)
d =
((DependencyDecoder2O) decoder)
.decodeProjective(
instance,
fvs,
probs,
fvs_trips,
probs_trips,
fvs_sibs,
probs_sibs,
nt_fvs,
nt_probs,
K);
else d = decoder.decodeProjective(instance, fvs, probs, nt_fvs, nt_probs, K);
}
if (options.decodeType.equals("non-proj")) {
if (options.secondOrder)
d =
((DependencyDecoder2O) decoder)
.decodeNonProjective(
instance,
fvs,
probs,
fvs_trips,
probs_trips,
fvs_sibs,
probs_sibs,
nt_fvs,
nt_probs,
K);
else d = decoder.decodeNonProjective(instance, fvs, probs, nt_fvs, nt_probs, K);
}
String[] res = ((String) d[0][1]).split(" ");
String[] pos = instance.cpostags;
String[] formsNoRoot = new String[forms.length - 1];
String[] posNoRoot = new String[formsNoRoot.length];
String[] labels = new String[formsNoRoot.length];
int[] heads = new int[formsNoRoot.length];
Arrays.toString(forms);
Arrays.toString(res);
for (int j = 0; j < formsNoRoot.length; j++) {
formsNoRoot[j] = forms[j + 1];
posNoRoot[j] = pos[j + 1];
String[] trip = res[j].split("[\\|:]");
labels[j] = pipe.types[Integer.parseInt(trip[2])];
heads[j] = Integer.parseInt(trip[0]);
}
pipe.outputInstance(new DependencyInstance(formsNoRoot, posNoRoot, labels, heads));
// String line1 = ""; String line2 = ""; String line3 = ""; String line4 = "";
// for(int j = 1; j < pos.length; j++) {
// String[] trip = res[j-1].split("[\\|:]");
// line1+= sent[j] + "\t"; line2 += pos[j] + "\t";
// line4 += trip[0] + "\t"; line3 += pipe.types[Integer.parseInt(trip[2])] + "\t";
// }
// pred.write(line1.trim() + "\n" + line2.trim() + "\n"
// + (pipe.labeled ? line3.trim() + "\n" : "")
// + line4.trim() + "\n\n");
instance = pipe.nextInstance();
}
pipe.close();
long end = System.currentTimeMillis();
System.out.println("Took: " + (end - start));
}