List of dotProduct() Examples

Examples of dotProduct()

cc.mallet.types.AugmentableFeatureVector.dotProduct()
cc.mallet.types.FeatureVector.dotProduct()
cc.mallet.types.HashedSparseVector.dotProduct()
cc.mallet.types.IndexedSparseVector.dotProduct()
cc.mallet.types.SparseVector.dotProduct()
VECTOR OPERATIONS
edu.stanford.nlp.sempre.FeatureVector.dotProduct()
gov.sandia.cognition.math.matrix.Vector.dotProduct()
mikera.vectorz.AVector.dotProduct()
Returns the dot product of this vector with another vector The vectors must have the same length: if not the result is undefined @param v @return
mikera.vectorz.Vector3.dotProduct()
net.minecraft.src.Vec3D.dotProduct()
net.wigis.graph.dnv.utilities.Vector2D.dotProduct()
Dot product. @param scalar the scalar @return the vector2 d
net.wigis.graph.dnv.utilities.Vector3D.dotProduct()
Dot product. @param scalar the scalar @return the vector3 d
org.apache.commons.math.linear.RealVector.dotProduct()
Compute the dot product. @param v vector with which dot product should be computed @return the scalar dot product between instance and v @throws org.apache.commons.math.exception.DimensionMismatchException if {@code v} is not the same size as this vector.
org.apache.commons.math3.linear.ArrayRealVector.dotProduct()
{@inheritDoc}
org.apache.commons.math3.linear.RealVector.dotProduct()
Compute the dot product of this vector with {@code v}. @param v Vector with which dot product should be computed @return the scalar dot product between this instance and {@code v}. @throws DimensionMismatchException if {@code v} is not the same size as{@code this} vector.
org.fnlp.ml.types.sv.ISparseVector.dotProduct()
点积 @param vector @return
org.jquantlib.math.matrixutilities.Array.dotProduct()
weka.core.pmml.VectorInstance.dotProduct()
Computes the dot product between this vector instance and the argument @param other the vector instance to perform the dot product with @return the dot product of this and the supplied vector instance @throws Exception if something goes wrong

Examples of cc.mallet.types.AugmentableFeatureVector.dotProduct()


  public void testDotProductBinaryToSV ()
  {
    SparseVector v = makeSparseVectorToN (5);
    AugmentableFeatureVector afv = makeAfv (new int[] { 1, 3 }, true);
    double dp = afv.dotProduct (v);
    assertEquals (4.0, dp, 1e-5);
    new AugmentableFeatureVector (new Alphabet(), true);
  }


  public void testDotProductSparseASVToSV ()

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Examples of cc.mallet.types.AugmentableFeatureVector.dotProduct()


  public void testDotProductSparseASVToSV ()
  {
    SparseVector v = makeSparseVectorToN (7);
    AugmentableFeatureVector afv = makeAfv (new int[] { 1, 3 }, false);
    double dp = afv.dotProduct (v);
    assertEquals (4.0, dp, 1e-5);


    afv = makeAfv (new int[] { 2, 5 }, false);
    dp = afv.dotProduct (v);
    assertEquals (7.0, dp, 1e-5);

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Examples of cc.mallet.types.AugmentableFeatureVector.dotProduct()

    AugmentableFeatureVector afv = makeAfv (new int[] { 1, 3 }, false);
    double dp = afv.dotProduct (v);
    assertEquals (4.0, dp, 1e-5);


    afv = makeAfv (new int[] { 2, 5 }, false);
    dp = afv.dotProduct (v);
    assertEquals (7.0, dp, 1e-5);
  }


  private AugmentableFeatureVector makeAfv (int[] ints, boolean binary)
  {

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Examples of cc.mallet.types.FeatureVector.dotProduct()

            // which is the number of counts for the document if we use that as input
            double Ncounts = MatrixOps.sum(fv);


            // CPAL - get the additional term for the value of our - log probability
            //      - this computation amounts to the dot product of the feature vector and the probability vector
            cachedValue -= (instanceWeight * fv.dotProduct(lprobs[li]));


            // CPAL - get the model expectation over features for the given class
            for (int fi = 0; fi < numFeatures; fi++) {


              //if(parameters[numFeatures*li + fi] != 0) {

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Examples of cc.mallet.types.HashedSparseVector.dotProduct()

    checkAnswer (s, new double[] { 3, 5, 7, 6, 7 });
  }


  public void testDotProduct () {
    HashedSparseVector t1 = new HashedSparseVector (new int[] { 7 }, new double[] { 0.2 });
    assertEquals (0.6, t1.dotProduct (s1), 0.00001);
    assertEquals (0.6, s1.dotProduct (t1), 0.00001);
    
    assertEquals (19.0, s1.dotProduct (s2), 0.00001);
    assertEquals (19.0, s2.dotProduct (s1), 0.00001);

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Examples of cc.mallet.types.HashedSparseVector.dotProduct()

                                             false, false, false);
    HashedSparseVector binary2 = new HashedSparseVector (idx2, null, idx2.length, idx2.length,
                                            false, false, false);


    assertEquals (3, binary1.dotProduct (binary2), 0.0001);
    assertEquals (3, binary2.dotProduct (binary1), 0.0001);


    assertEquals (15.0, binary1.dotProduct (s1), 0.0001);
    assertEquals (15.0, s1.dotProduct (binary1), 0.0001);


    assertEquals (9.0, binary2.dotProduct (s1), 0.0001);

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Examples of cc.mallet.types.HashedSparseVector.dotProduct()

    assertEquals (3, binary2.dotProduct (binary1), 0.0001);


    assertEquals (15.0, binary1.dotProduct (s1), 0.0001);
    assertEquals (15.0, s1.dotProduct (binary1), 0.0001);


    assertEquals (9.0, binary2.dotProduct (s1), 0.0001);
    assertEquals (9.0, s1.dotProduct (binary2), 0.0001);


    HashedSparseVector dblVec = (HashedSparseVector) s1.cloneMatrix ();
    dblVec.plusEqualsSparse (binary1);
    checkAnswer (dblVec, new double[] { 2, 3, 4, 5, 6 });

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Examples of cc.mallet.types.IndexedSparseVector.dotProduct()

    }
  }


  public void testDotProduct () {
    IndexedSparseVector t1 = new IndexedSparseVector (new int[] { 7 }, new double[] { 0.2 });
    assertEquals (0.6, t1.dotProduct (s1), 0.00001);
    assertEquals (0.6, s1.dotProduct (t1), 0.00001);


    assertEquals (19.0, s1.dotProduct (s2), 0.00001);
    assertEquals (19.0, s2.dotProduct (s1), 0.00001);

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Examples of cc.mallet.types.IndexedSparseVector.dotProduct()

                                             false, false, false);
    IndexedSparseVector binary2 = new IndexedSparseVector (idx2, null, idx2.length, idx2.length,
                                            false, false, false);


    assertEquals (3, binary1.dotProduct (binary2), 0.0001);
    assertEquals (3, binary2.dotProduct (binary1), 0.0001);


    assertEquals (15.0, binary1.dotProduct (s1), 0.0001);
    assertEquals (15.0, s1.dotProduct (binary1), 0.0001);


    assertEquals (9.0, binary2.dotProduct (s1), 0.0001);

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Examples of cc.mallet.types.IndexedSparseVector.dotProduct()

    assertEquals (3, binary2.dotProduct (binary1), 0.0001);


    assertEquals (15.0, binary1.dotProduct (s1), 0.0001);
    assertEquals (15.0, s1.dotProduct (binary1), 0.0001);


    assertEquals (9.0, binary2.dotProduct (s1), 0.0001);
    assertEquals (9.0, s1.dotProduct (binary2), 0.0001);


    IndexedSparseVector dblVec = (IndexedSparseVector) s1.cloneMatrix ();
    dblVec.plusEqualsSparse (binary1);
    checkAnswer (dblVec, new double[] { 2, 3, 4, 5, 6 });

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