Examples of SparseVector

ariba.util.core.SparseVector
Object subclass that manages an array of objects. Unlike a Vector, a SparseVector can contain null. @aribaapi documented
ca.uwo.csd.ai.nlp.common.SparseVector
SparseVector stores a sparse vector in a memory efficient manner. It stores the elements of a vector as a list of index:value pairs. @author Syeed Ibn Faiz
cc.mallet.types.SparseVector
A vector that allocates memory only for non-zero values. When you create a SparseVector, you pass in a list of indices. These are the only elements of the vector you will be allowed to change. The rest are fixed at 0. The interface to Sparse vector uses the concept of a location, which is an integer in the range 0..numLocations which can be mapped to the index (and value) of a non zero element of the vector. A SparseVector can be sparse or dense depending on whether or not an array if indices is specified at construction time. If the SparseVector is dense, the mapping from location to index is the identity mapping. The type of the value an element in a SparseVector (or FeatureVector) can be double or binary (0.0 or 1.0), depending on whether an array of doubles is specified at contruction time. @author Andrew McCallum mccallum@cs.umass.edu
ch.akuhn.hapax.linalg.SparseVector
com.googlecode.gaal.data.impl.SparseVector
cz.zcu.fav.liks.math.SparseVector
dmt.tools.SparseVector
edu.ucla.sspace.vector.SparseVector
An interface for {@code Vector} implementations whose values are sparse andthat support access to only those indices with non-zero values. @author Keith Stevens
no.uib.cipr.matrix.sparse.SparseVector
Sparse vector
org.apache.mahout.matrix.SparseVector
Implements vector that only stores non-zero doubles
org.ar.redoexperiments.tools.SparseVector
org.data2semantics.proppred.learners.SparseVector
org.fnlp.ml.types.sv.SparseVector
稀疏向量，并实现各种向量运算 @version 1.0 @since 1.0
org.grouplens.lenskit.vectors.SparseVector
uplens.org">GroupLens Research @compat Public
types.SparseVector
a sparse vector implementation. Not necessarily the most efficient. @author kuzman

Examples of org.grouplens.lenskit.vectors.SparseVector

    @Test
    public void testSingleValue() {
        acc.put(5, Math.PI);
        assertThat(acc.globalMean(),
                   closeTo(Math.PI, EPSILON));
        SparseVector v = acc.idMeans();
        assertThat(v.size(), equalTo(1));
        assertThat(v.get(5), closeTo(Math.PI, EPSILON));
    }

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Examples of types.SparseVector

        SparseVector[] x = new SparseVector[words.size()];
        Object[] y = new Object[tags.size()];
        for (int t = 0; t < x.length; t++) {
          y[t] = tags.get(t);
          String word = "^" + words.get(t) + "$";
          x[t] = new SparseVector();
          x[t].add(xAlphabet.lookupObject(word), 1);
          for (int i = 0; i < word.length() - 3; i++) {
            x[t].add(xAlphabet.lookupObject(word
                .substring(i, i + 3)), 1);
          }

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