Examples of edu.ucla.sspace.matrix.Transform

edu.ucla.sspace.matrix.Transform
An interface for {@link Matrix} transformations. These tranformations shouldsupport both a {@link Matrix} and a serialized {@link Matrix} stored in a{@code File}, in one of the supported matrix formats. Implementations are strongly encouraged to implement the {@code toString} method, as many {@link edu.ucla.sspace.common.SemanticSpace} implementations will use the name ofthe applied transform for describing their state. @author David Jurgens

    }
    
    protected SemanticSpace getSpace() {
        try {
            int dimensions = argOptions.getIntOption("dimensions", 300);
            Transform transform = new LogEntropyTransform();
            if (argOptions.hasOption("preprocess"))
                transform = ReflectionUtil.getObjectInstance(
                        argOptions.getStringOption("preprocess"));
            String algName = argOptions.getStringOption("svdAlgorithm", "ANY");
            SingularValueDecomposition factorization = SVD.getFactorization(

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    }
    
    protected SemanticSpace getSpace() {
        try {
            int dimensions = argOptions.getIntOption("dimensions", 300);
            Transform transform = new LogEntropyTransform();
            if (argOptions.hasOption("preprocess"))
                transform = ReflectionUtil.getObjectInstance(
                        argOptions.getStringOption("preprocess"));
            String algName = argOptions.getStringOption("svdAlgorithm", "ANY");
            MatrixFactorization factorization =

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                NUM_REFERENCE_DATA_SETS, DEFAULT_NUM_REFERENCE_DATA_SETS));
        int numIterations = maxClusters - startSize;
        String criterion = props.getProperty(METHOD_PROPERTY, DEFAULT_METHOD);


        verbose("Transforming the original data set");
        Transform tfidf = new TfIdfDocStripedTransform();
        Transform rowMag = new RowMagnitudeTransform();
        m = rowMag.transform(tfidf.transform(m));


        verbose("Generating the reference data set");
        // Generate the reference data sets.
        ReferenceDataGenerator generator = new ReferenceDataGenerator(m);
        Matrix[] gapMatrices = new Matrix[numGaps];
        for (int i = 0; i < numGaps; ++i)
            gapMatrices[i] = rowMag.transform(tfidf.transform(
                    generator.generateTestData()));


        double[] gapResults = new double[numIterations];
        double[] gapStds = new double[numIterations];
        Assignments[] gapAssignments = new Assignments[numIterations];

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    /**
     * {@inheritDoc}
     */
    public SemanticSpace getSpace() {
        Transform transform = new CorrelationTransform();
        MatrixFactorization reducer = (argOptions.hasOption("reduce"))
            ? SVD.getFastestAvailableFactorization()
            : null;


        return new Coals(transform, reducer,

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     *        LocalityPreservingSemanticAnalysis javadoc} for the full list of
     *        supported properties.
     */
    public void processSpace(Properties properties) {
        try {
            Transform transform = null;
            // If the user specified a transform, then apply it and update the
            // matrix file
            String transformClass = 
                properties.getProperty(MATRIX_TRANSFORM_PROPERTY);
            if (transformClass != null)

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     * @param properties {@inheritDoc} See this class's {@link VectorSpaceModel
     *        javadoc} for the full list of supported properties.
     */
    public void processSpace(Properties properties) {
        try {
            Transform transform = null;


            // Load any optionally specifie transform class
            String transformClass = 
                properties.getProperty(MATRIX_TRANSFORM_PROPERTY);
            if (transformClass != null)

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     */
    protected SemanticSpace getSpace() {
        setupDependencyExtractor();


        int bound = argOptions.getIntOption('b', 10000);
        Transform transform = argOptions.getObjectOption(
                'T', new NoTransform());
        DependencyPathAcceptor acceptor = argOptions.getObjectOption(
                'a', new UniversalPathAcceptor());
        DependencyPathWeight weighter = argOptions.getObjectOption(
                'w', new FlatPathWeight());

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    /**
     * {@inheritDoc}
     */
    protected SemanticSpace getSpace() {
        Transform transform = null;
        if (argOptions.hasOption('T'))
            transform = ReflectionUtil.getObjectInstance(
                    argOptions.getStringOption('T'));
        else
            transform = new NoTransform();

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    public void processSpace(Properties properties) {
        try {
            // first ensure that we are no longer writing to the matrix
            termDocumentMatrixBuilder.finish();


            Transform transform = new LogEntropyTransform();


            String transformClass =
            properties.getProperty(MATRIX_TRANSFORM_PROPERTY);
            if (transformClass != null) {
                try {
                    Class clazz = Class.forName(transformClass);
                    transform = (Transform)(clazz.newInstance());
                }
                // perform a general catch here due to the number of possible
                // things that could go wrong.  Rethrow all exceptions as an
                // error.
                catch (Exception e) {
                    throw new Error(e);
                }
            }


            LSA_LOGGER.info("performing " + transform + " transform");


                // Get the finished matrix file from the builder
            File termDocumentMatrix = termDocumentMatrixBuilder.getFile();
            if (LSA_LOGGER.isLoggable(Level.FINE)) {
                LSA_LOGGER.fine("stored term-document matrix in format " +
                        termDocumentMatrixBuilder.getMatrixFormat()
                        + " at " + termDocumentMatrix.getAbsolutePath());
            }


            // Convert the raw term counts using the specified transform
            File transformedMatrix = transform.transform(termDocumentMatrix,
                    termDocumentMatrixBuilder.getMatrixFormat());


            if (LSA_LOGGER.isLoggable(Level.FINE)) {
                LSA_LOGGER.fine("transformed matrix to " +
                        transformedMatrix.getAbsolutePath());

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Related Classes of edu.ucla.sspace.matrix.Transform

edu.ucla.sspace.clustering.GapStatistic

edu.ucla.sspace.mains.CoalsMain

edu.ucla.sspace.mains.LSAMain

edu.ucla.sspace.mains.PLSAMain

edu.ucla.sspace.nonlinear.LocalityPreservingSemanticAnalysis

edu.ucla.sspace.tools.BasisMaker

edu.ucla.sspace.tools.DependencyBasisMaker

edu.ucla.sspace.vsm.VectorSpaceModel

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