diff options
Diffstat (limited to 'gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java')
| -rw-r--r-- | gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java | 9 |
1 files changed, 3 insertions, 6 deletions
diff --git a/gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java b/gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java index 5efe778a..ac73a075 100644 --- a/gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java +++ b/gi/posterior-regularisation/prjava/src/phrase/PhraseObjective.java @@ -21,11 +21,8 @@ public class PhraseObjective extends ProjectedObjective {
static final double GRAD_DIFF = 0.00002;
static double INIT_STEP_SIZE = 300;
- static double VAL_DIFF = 1e-6; // FIXME needs to be tuned - and this might be too weak
+ static double VAL_DIFF = 1e-8; // tuned to BTEC subsample
static int ITERATIONS = 100;
- //private double c1=0.0001; // wolf stuff
- //private double c2=0.9;
- //private static double lambda[][];
private PhraseCluster c;
/**@brief
@@ -181,13 +178,13 @@ public class PhraseObjective extends ProjectedObjective optimizer.setMaxIterations(ITERATIONS);
updateFunction();
boolean success = optimizer.optimize(this,stats,compositeStop);
-// System.out.println("Ended optimzation Projected Gradient Descent\n" + stats.prettyPrint(1));
+ //System.out.println("Ended optimzation Projected Gradient Descent\n" + stats.prettyPrint(1));
//if(succed){
//System.out.println("Ended optimization in " + optimizer.getCurrentIteration());
//}else{
// System.out.println("Failed to optimize");
//}
- // ps.println(Arrays.toString(parameters));
+ //System.out.println(Arrays.toString(parameters));
// for(int edge=0;edge<data.getSize();edge++){
// ps.println(Arrays.toString(q[edge]));
|