diff options
Diffstat (limited to 'gi/posterior-regularisation/prjava/src/phrase')
6 files changed, 173 insertions, 77 deletions
diff --git a/gi/posterior-regularisation/prjava/src/phrase/Corpus.java b/gi/posterior-regularisation/prjava/src/phrase/Corpus.java index d5e856ca..81264ab9 100644 --- a/gi/posterior-regularisation/prjava/src/phrase/Corpus.java +++ b/gi/posterior-regularisation/prjava/src/phrase/Corpus.java @@ -217,5 +217,11 @@ public class Corpus } return c; + } + + public void printStats(PrintStream out) + { + out.println("Corpus has " + edges.size() + " edges " + phraseLexicon.size() + " phrases " + + contextLexicon.size() + " contexts and " + wordLexicon.size() + " word types"); } -} +}
\ No newline at end of file diff --git a/gi/posterior-regularisation/prjava/src/phrase/PhraseCluster.java b/gi/posterior-regularisation/prjava/src/phrase/PhraseCluster.java index 63a60682..7d7c46dd 100644 --- a/gi/posterior-regularisation/prjava/src/phrase/PhraseCluster.java +++ b/gi/posterior-regularisation/prjava/src/phrase/PhraseCluster.java @@ -25,73 +25,6 @@ public class PhraseCluster { // pi[phrase][tag] = p(tag | phrase)
private double pi[][];
- public static void main(String[] args)
- {
- String input_fname = args[0];
- int tags = Integer.parseInt(args[1]);
- String output_fname = args[2];
- int iterations = Integer.parseInt(args[3]);
- double scalePT = Double.parseDouble(args[4]);
- double scaleCT = Double.parseDouble(args[5]);
- int threads = Integer.parseInt(args[6]);
- boolean runEM = Boolean.parseBoolean(args[7]);
-
- assert(tags >= 2);
- assert(scalePT >= 0);
- assert(scaleCT >= 0);
-
- Corpus corpus = null;
- try {
- corpus = Corpus.readFromFile(FileUtil.openBufferedReader(input_fname));
- } catch (IOException e) {
- System.err.println("Failed to open input file: " + input_fname);
- e.printStackTrace();
- System.exit(1);
- }
- PhraseCluster cluster = new PhraseCluster(tags, corpus, scalePT, scaleCT, threads);
-
- //PhraseObjective.ps = FileUtil.openOutFile(outputDir + "/phrase_stat.out");
-
- double last = 0;
- for(int i=0;i<iterations;i++){
-
- double o;
- if (runEM || i < 3)
- o = cluster.EM();
- else if (scaleCT == 0)
- {
- if (threads >= 1)
- o = cluster.PREM_phrase_constraints_parallel();
- else
- o = cluster.PREM_phrase_constraints();
- }
- else
- o = cluster.PREM_phrase_context_constraints();
-
- //PhraseObjective.ps.
- System.out.println("ITER: "+i+" objective: " + o);
- last = o;
- }
-
- double pl1lmax = cluster.phrase_l1lmax();
- double cl1lmax = cluster.context_l1lmax();
- System.out.println("Final posterior phrase l1lmax " + pl1lmax + " context l1lmax " + cl1lmax);
- if (runEM) System.out.println("With PR objective " + (last - scalePT*pl1lmax - scaleCT*cl1lmax));
-
- PrintStream ps=io.FileUtil.openOutFile(output_fname);
- cluster.displayPosterior(ps);
- ps.close();
-
- //PhraseObjective.ps.close();
-
- //ps = io.FileUtil.openOutFile(outputDir + "/parameters.out");
- //cluster.displayModelParam(ps);
- //ps.close();
-
- if (cluster.pool != null)
- cluster.pool.shutdown();
- }
-
public PhraseCluster(int numCluster, Corpus corpus, double scalep, double scalec, int threads){
K=numCluster;
c=corpus;
@@ -134,7 +67,7 @@ public class PhraseCluster { double p[]=posterior(edge);
double z = arr.F.l1norm(p);
assert z > 0;
- loglikelihood+=Math.log(z);
+ loglikelihood += edge.getCount() * Math.log(z);
arr.F.l1normalize(p);
int count = edge.getCount();
@@ -150,7 +83,7 @@ public class PhraseCluster { }
}
- System.out.println("Log likelihood: "+loglikelihood);
+ //System.out.println("Log likelihood: "+loglikelihood);
//M
for(double [][]i:exp_emit){
diff --git a/gi/posterior-regularisation/prjava/src/phrase/PhraseContextObjective.java b/gi/posterior-regularisation/prjava/src/phrase/PhraseContextObjective.java index fbf43a7f..15bd29c2 100644 --- a/gi/posterior-regularisation/prjava/src/phrase/PhraseContextObjective.java +++ b/gi/posterior-regularisation/prjava/src/phrase/PhraseContextObjective.java @@ -26,7 +26,7 @@ import phrase.Corpus.Edge; public class PhraseContextObjective extends ProjectedObjective
{
private static final double GRAD_DIFF = 0.00002;
- private static double INIT_STEP_SIZE = 10;
+ private static double INIT_STEP_SIZE = 300;
private static double VAL_DIFF = 1e-4; // FIXME needs to be tuned
private static int ITERATIONS = 100;
diff --git a/gi/posterior-regularisation/prjava/src/phrase/PhraseCorpus.java b/gi/posterior-regularisation/prjava/src/phrase/PhraseCorpus.java index 11e948ff..903e47c8 100644 --- a/gi/posterior-regularisation/prjava/src/phrase/PhraseCorpus.java +++ b/gi/posterior-regularisation/prjava/src/phrase/PhraseCorpus.java @@ -1,7 +1,11 @@ package phrase;
+import io.FileUtil;
+
import java.io.BufferedInputStream;
import java.io.BufferedReader;
+import java.io.File;
+import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.PrintStream;
import java.util.ArrayList;
@@ -20,8 +24,9 @@ public class PhraseCorpus public int data[][][];
public int numContexts;
- public PhraseCorpus(String filename){
- BufferedReader r=io.FileUtil.openBufferedReader(filename);
+ public PhraseCorpus(String filename) throws FileNotFoundException, IOException
+ {
+ BufferedReader r = FileUtil.reader(new File(filename));
phraseLex=new HashMap<String,Integer>();
wordLex=new HashMap<String,Integer>();
@@ -84,8 +89,9 @@ public class PhraseCorpus }
//for debugging
- public void saveLex(String lexFilename){
- PrintStream ps=io.FileUtil.openOutFile(lexFilename);
+ public void saveLex(String lexFilename) throws FileNotFoundException, IOException
+ {
+ PrintStream ps = FileUtil.printstream(new File(lexFilename));
ps.println("Phrase Lexicon");
ps.println(phraseLex.size());
printDict(phraseLex,ps);
@@ -175,7 +181,8 @@ public class PhraseCorpus return null;
}
- public static void main(String[] args) {
+ public static void main(String[] args) throws Exception
+ {
String LEX_FILENAME="../pdata/lex.out";
String DATA_FILENAME="../pdata/btec.con";
PhraseCorpus c=new PhraseCorpus(DATA_FILENAME);
diff --git a/gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java b/gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java index 0a76e2dc..3314f74a 100644 --- a/gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java +++ b/gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java @@ -21,7 +21,7 @@ import optimization.util.MathUtils; public class PhraseObjective extends ProjectedObjective
{
static final double GRAD_DIFF = 0.00002;
- static double INIT_STEP_SIZE = 10;
+ static double INIT_STEP_SIZE = 300;
static double VAL_DIFF = 1e-4; // FIXME needs to be tuned - and this might be too weak
static int ITERATIONS = 100;
//private double c1=0.0001; // wolf stuff
diff --git a/gi/posterior-regularisation/prjava/src/phrase/Trainer.java b/gi/posterior-regularisation/prjava/src/phrase/Trainer.java new file mode 100644 index 00000000..b19f3fb9 --- /dev/null +++ b/gi/posterior-regularisation/prjava/src/phrase/Trainer.java @@ -0,0 +1,150 @@ +package phrase; + +import io.FileUtil; +import joptsimple.OptionParser; +import joptsimple.OptionSet; +import java.io.File; +import java.io.IOException; +import java.io.PrintStream; +import java.util.Random; + +import arr.F; + +public class Trainer +{ + public static void main(String[] args) + { + OptionParser parser = new OptionParser(); + parser.accepts("help"); + parser.accepts("in").withRequiredArg().ofType(File.class); + parser.accepts("out").withRequiredArg().ofType(File.class); + parser.accepts("parameters").withRequiredArg().ofType(File.class); + parser.accepts("topics").withRequiredArg().ofType(Integer.class).defaultsTo(5); + parser.accepts("em-iterations").withRequiredArg().ofType(Integer.class).defaultsTo(5); + parser.accepts("pr-iterations").withRequiredArg().ofType(Integer.class).defaultsTo(0); + parser.accepts("threads").withRequiredArg().ofType(Integer.class).defaultsTo(0); + parser.accepts("scale-phrase").withRequiredArg().ofType(Double.class).defaultsTo(5.0); + parser.accepts("scale-context").withRequiredArg().ofType(Double.class).defaultsTo(0.0); + parser.accepts("seed").withRequiredArg().ofType(Long.class).defaultsTo(0l); + parser.accepts("convergence-threshold").withRequiredArg().ofType(Double.class).defaultsTo(1e-6); + OptionSet options = parser.parse(args); + + if (options.has("help") || !options.has("in")) + { + try { + parser.printHelpOn(System.err); + } catch (IOException e) { + System.err.println("This should never happen. Really."); + e.printStackTrace(); + } + System.exit(1); + } + + int tags = (Integer) options.valueOf("topics"); + int em_iterations = (Integer) options.valueOf("em-iterations"); + int pr_iterations = (Integer) options.valueOf("pr-iterations"); + double scale_phrase = (Double) options.valueOf("scale-phrase"); + double scale_context = (Double) options.valueOf("scale-context"); + int threads = (Integer) options.valueOf("threads"); + double threshold = (Double) options.valueOf("convergence-threshold"); + + if (options.has("seed")) + F.rng = new Random((Long) options.valueOf("seed")); + + if (tags <= 1 || scale_phrase < 0 || scale_context < 0 || threshold < 0) + { + System.err.println("Invalid arguments. Try again!"); + System.exit(1); + } + + Corpus corpus = null; + File infile = (File) options.valueOf("in"); + try { + System.out.println("Reading concordance from " + infile); + corpus = Corpus.readFromFile(FileUtil.reader(infile)); + corpus.printStats(System.out); + } catch (IOException e) { + System.err.println("Failed to open input file: " + infile); + e.printStackTrace(); + System.exit(1); + } + + System.out.println("Running with " + tags + " tags " + + "for " + em_iterations + " EM and " + pr_iterations + " PR iterations " + + "with scale " + scale_phrase + " phrase and " + scale_context + " context " + + "and " + threads + " threads"); + System.out.println(); + + PhraseCluster cluster = new PhraseCluster(tags, corpus, scale_phrase, scale_context, threads); + + double last = 0; + for (int i=0; i<em_iterations+pr_iterations; i++) + { + double o; + if (i < em_iterations) + o = cluster.EM(); + else if (scale_context == 0) + { + if (threads >= 1) + o = cluster.PREM_phrase_constraints_parallel(); + else + o = cluster.PREM_phrase_constraints(); + } + else + o = cluster.PREM_phrase_context_constraints(); + + System.out.println("ITER: "+i+" objective: " + o); + + if (i != 0 && Math.abs((o - last) / o) < threshold) + { + last = o; + if (i < em_iterations) + { + i = em_iterations - 1; + continue; + } + else + break; + } + last = o; + } + + double pl1lmax = cluster.phrase_l1lmax(); + double cl1lmax = cluster.context_l1lmax(); + System.out.println("\nFinal posterior phrase l1lmax " + pl1lmax + " context l1lmax " + cl1lmax); + if (pr_iterations == 0) + System.out.println("With PR objective " + (last - scale_phrase*pl1lmax - scale_context*cl1lmax)); + + if (options.has("out")) + { + File outfile = (File) options.valueOf("out"); + try { + PrintStream ps = FileUtil.printstream(outfile); + cluster.displayPosterior(ps); + ps.close(); + } catch (IOException e) { + System.err.println("Failed to open output file: " + outfile); + e.printStackTrace(); + System.exit(1); + } + } + + if (options.has("parameters")) + { + File outfile = (File) options.valueOf("parameters"); + PrintStream ps; + try { + ps = FileUtil.printstream(outfile); + cluster.displayModelParam(ps); + ps.close(); + } catch (IOException e) { + System.err.println("Failed to open output parameters file: " + outfile); + e.printStackTrace(); + System.exit(1); + } + } + + if (cluster.pool != null) + cluster.pool.shutdown(); + } +} |