Examples of edu.ucla.sspace.vector.IntegerVector

edu.ucla.sspace.vector.IntegerVector
An Integer based Vector. Methods which modify the state of a {@code Vector}are optional. Implementations that are not modifiable should throw an {@code UnsupportedOperationException} if such methods are called. These methods aremarked as "optional" in the specification for the interface. @author Keith Stevens

     * @param word a word
     *
     * @return the {@code SemanticVector} for the provide word.
     */
    private IntegerVector getSemanticVector(String word) {
        IntegerVector v = wordToMeaning.get(word);
        if (v == null) {
            // lock on the word in case multiple threads attempt to add it at
            // once
            synchronized(this) {
                // recheck in case another thread added it while we were waiting

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   /**
     * {@inheritDoc}
     */ 
    public Vector getVector(String word) {
        IntegerVector v = wordToMeaning.get(word);
        if (v == null) {
            return null;
        }
        return Vectors.immutable(v);
    }

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            boolean calculateSemantics =
                semanticFilter.isEmpty() || semanticFilter.contains(focusWord)
                && !focusWord.equals(IteratorFactory.EMPTY_TOKEN);
            
            if (calculateSemantics) {
                IntegerVector focusMeaning = getSemanticVector(focusWord);


                // Sum up the index vector for all the surrounding words.  If
                // permutations are enabled, permute the index vector based on
                // its relative position to the focus word.
                int permutations = -(prevWords.size());

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                // Skip words that are rejected by the semantic filter.
                if (!acceptWord(focusWord))
                    continue;


                // Acquire the semantic vector for the focus word.
                IntegerVector focusMeaning = getSemanticVector(focusWord);


                // Create the path iterator for all acceptable paths rooted at
                // the focus word in the sentence.
                Iterator<DependencyPath> pathIter = 
                    new DependencyIterator(nodes[i], acceptor, pathLength);

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     * @param word a word that requires a semantic vector
     *
     * @return the {@code SemanticVector} representing {@code word}
     */
    private IntegerVector getSemanticVector(String word) {
        IntegerVector v = wordSpace.get(word);
        if (v == null) {
            // lock on the word in case multiple threads attempt to add it at
            // once
            synchronized(this) {
                // recheck in case another thread added it while we were waiting

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            // Choose the smaller of the two to use in computing the dot
            // product.  Because it would be more expensive to compute the
            // intersection of the two sets, we assume that any potential
            // misses would be less of a performance hit.
            if (useA) {
                IntegerVector t = a;
                a = b;
                b = t;
            }


            for (IntegerEntry e : ((Iterable<IntegerEntry>)b)) {

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                for (int i = 0; i < length - 1; ++i)
                    sb.append(dv.get(i)).append(" ");
                sb.append(dv.get(length - 1));
            }
            else if (vector instanceof IntegerVector) {
                IntegerVector iv = (IntegerVector)vector;
                for (int i = 0; i < length - 1; ++i)
                    sb.append(iv.get(i)).append(" ");
                sb.append(iv.get(length - 1));
            }
            else {
                for (int i = 0; i < length - 1; ++i)
                    sb.append(vector.getValue(i).doubleValue()).append(" ");
                sb.append(vector.getValue(length - 1).doubleValue());

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   /**
     * {@inheritDoc}
     */ 
    public IntegerVector getVector(String word) {
        IntegerVector v = termToReflectiveSemantics.get(word);
        if (v == null) {
            return null;
        }
        return Vectors.immutable(v);
    }

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            new ByteArrayOutputStream(4096);
        DataOutputStream dos = new DataOutputStream(compressedDocument);
        int tokens = 0; // count how many are in this document
        int unfilteredTokens = 0; // how many tokens remained after filtering


        IntegerVector docVector = createVector();
        docToVector.put(docIndex, docVector);


        while (documentTokens.hasNext()) {
            tokens++;
            String focusWord = documentTokens.next();

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     */
    private void processIntDocument(IntegerVector docVector, int[] document) {


        // Make one pass through the document to build the document vector.
        for (int termIndex : document) {
            IntegerVector reflectiveVector = 
                termToReflectiveSemantics.get(indexToTerm[termIndex]);
            // Lock on the term's vector to prevent another thread from updating
            // it concurrently
            synchronized(reflectiveVector) {
                VectorMath.add(reflectiveVector, docVector);

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edu.ucla.sspace.common.SemanticSpaceIO

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edu.ucla.sspace.ri.HadoopRandomIndexing

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