| 
 | ||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||
| Packages that use ConstantMatrix | |
|---|---|
| cc.mallet.types | Fundamental MALLET types, including FeatureVector, Instance, Label etc. | 
| Uses of ConstantMatrix in cc.mallet.types | 
|---|
| Subinterfaces of ConstantMatrix in cc.mallet.types | |
|---|---|
|  interface | Matrix | 
|  interface | VectorDeprecated. | 
| Classes in cc.mallet.types that implement ConstantMatrix | |
|---|---|
|  class | AugmentableFeatureVector | 
|  class | DenseMatrix | 
|  class | DenseVector | 
|  class | ExpGain | 
|  class | FeatureCounts | 
|  class | FeatureVectorA subset of an Alphabetin which each element of the subset has an associated value. | 
|  class | GainRatioList of features along with their thresholds sorted in descending order of the ratio of (1) information gained by splitting instances on the feature at its associated threshold value, to (2) the split information. | 
|  class | GradientGain | 
|  class | HashedSparseVector | 
|  class | IndexedSparseVector | 
|  class | InfoGain | 
|  class | KLGain | 
|  class | LabelVector | 
|  class | Matrix2Deprecated. | 
|  class | MatrixnImplementation of Matrix that allows arbitrary number of dimensions. | 
|  class | MultinomialA probability distribution over a set of features represented as a FeatureVector. | 
| static class | Multinomial.LoggedA Multinomial in which the values associated with each feature index fi is Math.log(probability[fi]) instead of probability[fi]. | 
|  class | PartiallyRankedFeatureVector | 
|  class | RankedFeatureVector | 
|  class | SparseMatrixnImplementation of Matrix that allows arbitrary number of dimensions. | 
|  class | SparseVectorA vector that allocates memory only for non-zero values. | 
| Methods in cc.mallet.types that return ConstantMatrix | |
|---|---|
|  ConstantMatrix | SparseVector.cloneMatrix()CLONING | 
|  ConstantMatrix | SparseMatrixn.cloneMatrix() | 
|  ConstantMatrix | Matrixn.cloneMatrix() | 
|  ConstantMatrix | Matrix2.cloneMatrix()Deprecated. | 
|  ConstantMatrix | IndexedSparseVector.cloneMatrix() | 
|  ConstantMatrix | HashedSparseVector.cloneMatrix() | 
|  ConstantMatrix | FeatureVector.cloneMatrix() | 
|  ConstantMatrix | DenseVector.cloneMatrix() | 
| abstract  ConstantMatrix | DenseMatrix.cloneMatrix() | 
|  ConstantMatrix | ConstantMatrix.cloneMatrix() | 
|  ConstantMatrix | AugmentableFeatureVector.cloneMatrix() | 
|  ConstantMatrix | SparseVector.cloneMatrixZeroed() | 
|  ConstantMatrix | IndexedSparseVector.cloneMatrixZeroed() | 
|  ConstantMatrix | HashedSparseVector.cloneMatrixZeroed() | 
|  ConstantMatrix | FeatureVector.cloneMatrixZeroed() | 
|  ConstantMatrix | AugmentableFeatureVector.cloneMatrixZeroed() | 
| Methods in cc.mallet.types with parameters of type ConstantMatrix | |
|---|---|
|  boolean | DenseMatrix.almostEquals(ConstantMatrix m2) | 
|  double | SparseVector.dotProduct(ConstantMatrix m) | 
|  double | SparseMatrixn.dotProduct(ConstantMatrix m) | 
|  double | DenseMatrix.dotProduct(ConstantMatrix m) | 
|  double | ConstantMatrix.dotProduct(ConstantMatrix m) | 
|  void | SparseMatrixn.elementwiseDivideEquals(ConstantMatrix m) | 
|  void | Matrix.elementwiseDivideEquals(ConstantMatrix m) | 
|  void | DenseMatrix.elementwiseDivideEquals(ConstantMatrix m) | 
|  void | SparseMatrixn.elementwiseDivideEquals(ConstantMatrix m,
                        double factor) | 
|  void | Matrix.elementwiseDivideEquals(ConstantMatrix m,
                        double factor) | 
|  void | DenseMatrix.elementwiseDivideEquals(ConstantMatrix m,
                        double factor) | 
|  void | SparseMatrixn.elementwiseTimesEquals(ConstantMatrix m) | 
|  void | Matrix.elementwiseTimesEquals(ConstantMatrix m) | 
|  void | DenseMatrix.elementwiseTimesEquals(ConstantMatrix m) | 
|  void | SparseMatrixn.elementwiseTimesEquals(ConstantMatrix m,
                       double factor) | 
|  void | Matrix.elementwiseTimesEquals(ConstantMatrix m,
                       double factor) | 
|  void | DenseMatrix.elementwiseTimesEquals(ConstantMatrix m,
                       double factor) | 
|  void | SparseMatrixn.equalsPlus(double factor,
           ConstantMatrix m) | 
|  void | Matrix.equalsPlus(double factor,
           ConstantMatrix m) | 
|  void | DenseMatrix.equalsPlus(double factor,
           ConstantMatrix m) | 
|  void | SparseMatrixn.plusEquals(ConstantMatrix m) | 
|  void | Matrix.plusEquals(ConstantMatrix m) | 
|  void | DenseMatrix.plusEquals(ConstantMatrix m) | 
|  void | SparseMatrixn.plusEquals(ConstantMatrix m,
           double factor) | 
|  void | Matrix.plusEquals(ConstantMatrix m,
           double factor) | 
|  void | DenseMatrix.plusEquals(ConstantMatrix m,
           double factor) | 
|  void | SparseMatrixn.set(ConstantMatrix m) | 
|  void | Matrix.set(ConstantMatrix m) | 
|  void | DenseMatrix.set(ConstantMatrix m) | 
|  void | SparseMatrixn.setWithAddend(ConstantMatrix m,
              double addend) | 
|  void | Matrix.setWithAddend(ConstantMatrix m,
              double addend) | 
|  void | DenseMatrix.setWithAddend(ConstantMatrix m,
              double addend) | 
|  void | SparseMatrixn.setWithFactor(ConstantMatrix m,
              double factor) | 
|  void | Matrix.setWithFactor(ConstantMatrix m,
              double factor) | 
|  void | DenseMatrix.setWithFactor(ConstantMatrix m,
              double factor) | 
|  boolean | Matrix2.sizeMatches(ConstantMatrix m)Deprecated. | 
| 
 | ||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||