Examples of gnu.trove.iterator.TIntFloatIterator

gnu.trove.iterator.TIntFloatIterator

ssing keys/values through an iterator: for ( TIntFloatIterator it = map.iterator(); it.hasNext(); ) { it.advance(); if ( satisfiesCondition( it.key() ) { doSomethingWithValue( it.value() ); } }

 // modifying values in-place through iteration: for ( TIntFloatIterator it = map.iterator(); it.hasNext(); ) { it.advance(); if ( satisfiesCondition( it.key() ) { it.setValue( newValueForKey( it.key() ) ); } }

 // deleting entries during iteration: for ( TIntFloatIterator it = map.iterator(); it.hasNext(); ) { it.advance(); if ( satisfiesCondition( it.key() ) { it.remove(); } }

 // faster iteration by avoiding hasNext(): TIntFloatIterator iterator = map.iterator(); for ( int i = map.size(); i-- > 0; ) { iterator.advance(); doSomethingWithKeyAndValue( iterator.key(), iterator.value() ); }

        baseDistList.set(classid, base);
    }


    private float getBaseDist(int classid) {
        float base = 0.0f;
        TIntFloatIterator it = classCenter.get(classid).data.iterator();
        while (it.hasNext()) {
            it.advance();
            base += it.value() * it.value();
        }
        return base;
    }

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    System.out.println("原字典大小"+index.size());
    System.out.println("原字典大小"+feature.size());
    StringFeatureAlphabet newfeat = new StringFeatureAlphabet();
    cl.factory.setDefaultFeatureAlphabet(newfeat);
    for(int i=0;i<weights.length;i++){
        TIntFloatIterator itt = weights[i].data.iterator();
        HashSparseVector ww = new HashSparseVector();
        while(itt.hasNext()){
          itt.advance();
          float v = itt.value();
          if(Math.abs(v)<1e-3f)
            continue;
          String fea = index.get(itt.key());
          int newidx = newfeat.lookupIndex(fea);
          ww.put(newidx, v);        
      }
      weights[i] = ww;  
    }

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    this.indexes = new int[values.size()];
    this.values = new float[values.size()];
    // Import and sort the indexes
    {
      TIntFloatIterator iter = values.iterator();
      for (int i = 0; iter.hasNext(); i++) {
        iter.advance();
        this.indexes[i] = iter.key();
        i++;
      }
      Arrays.sort(this.indexes);
    }
    // Import the values accordingly

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org.fnlp.ml.classifier.hier.ModelAnalysis

org.fnlp.ml.feature.FeatureSelect

org.fnlp.ml.types.sv.HashSparseVector

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