reisepass

package ch.ethz.dalab.dissolve.examples.neighbourhood




import cc.factorie.la._
import scala.collection.mutable.ArrayBuffer
import scala.collection.Set
import cc.factorie.util.{DoubleSeq, RangeIntSeq, SparseDoubleSeq}
import scala.collection.mutable

reisepass

package ch.ethz.dalab.dissolve.examples.neighbourhood




import cc.factorie.la._
import scala.collection.mutable.ArrayBuffer
import scala.collection.Set
import cc.factorie.util.{DoubleSeq, RangeIntSeq, SparseDoubleSeq}
import scala.collection.mutable

reisepass

/*
Exception in thread "main" java.lang.ClassCastException: breeze.linalg.Transpose cannot be cast to breeze.linalg.ImmutableNumericOps
	at ch.ethz.dalab.dissolve.optimization.SolverUtils$.objectiveFunction(SolverUtils.scala:52)
	at ch.ethz.dalab.dissolve.optimization.DBCFWSolverTuned.ch$ethz$dalab$dissolve$optimization$DBCFWSolverTuned$$evaluateModel$1(DBCFWSolverTuned.scala:237)
	at ch.ethz.dalab.dissolve.optimization.DBCFWSolverTuned$$anonfun$optimize$1.apply$mcZI$sp(DBCFWSolverTuned.scala:375)
	at ch.ethz.dalab.dissolve.optimization.DBCFWSolverTuned$$anonfun$optimize$1.apply(DBCFWSolverTuned.scala:359)
	at ch.ethz.dalab.dissolve.optimization.DBCFWSolverTuned$$anonfun$optimize$1.apply(DBCFWSolverTuned.scala:359)
	at scala.collection.immutable.Stream.takeWhile(Stream.scala:803)
	at ch.ethz.dalab.dissolve.optimization.DBCFWSolverTuned.optimize(DBCFWSolverTuned.scala:358)
	at ch.ethz.dalab.dissolve.classification.StructSVMWithDBCFW.trainModel(StructSVMWithDBCFW.scala:24)

reisepass

 val Q = DenseMatrix.ones[Double](numRegions, numClasses) 
    var lastMaxE = 0.0
    var lastMinE = 0.0
    var numNoChange = 0
    for (iter <- 0 until maxIterations) {

      var numUnchangedQs = 0
      val lastQ = Q;
      val xiLab = (0 until numClasses).par

reisepass

 val Q = DenseMatrix.ones[Double](numRegions, numClasses) //TODO maybe initialize to 1/num neighbours or 1/numneighbours*numClass
    //TODO This Q could be stored in a spark RDD if it gets too large for memory;; Prob not necesary because thetaUnayr is the same size 
    //TODO consider storing the probabilities in a byte
    if (debug) {
      //val header = (0 until numClasses).toSeq.toList.flatMap { curclass => (0 until numRegions).toSeq.toList.map { curregion => ",Qr" + curregion + " Qc" + curclass } }
      // println("#MF_Q_LOG#,timeID,elapsedTime" + header)
      // println("#MF_E_LOG#,timeID,logTag,iter,maxE,minE,maxE_change,minE_change")
    }

    var lastMaxE = 0.0

reisepass

    class RegionVar(val score: Int) extends IntegerVariable(score)

    object PixelDomain extends DiscreteDomain(numClasses)

    class Pixel(i: Int) extends DiscreteVariable(i) { //i is just the initial value 
      def domain = PixelDomain
    }

    val labelParams = Array.fill(graph.size) { new Pixel(0) }
    val nodePairsUsed: HashSet[(Int, Int)] = new HashSet[(Int, Int)]()

reisepass

{
  "d":{
    "__type":"Response:http:\/\/research.microsoft.com",
    "Author":null,
    "Conference":null,
    "Domain":null,
    "Journal":null,
    "Keyword":null,
    "Organization":null,
    "Publication":{

reisepass

protected ArrayList<String> wildWithInpAtBack(String inp,int ngramLength){
		ArrayList<String> out = new ArrayList<String>(ngramLength);
		for(int i=0;i<ngramLength-1;i++){
			out.add(i, FirstSentSum.WILDCARD_STRING);
		}
		if(inp.indexOf(" ")!=-1){
			for(String sepI : inp.split(" ")){
				out.add(sepI);
			}
		}