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## Uses of Interface
cc.mallet.types.ConstantMatrix

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` | `Vector` Deprecated.

Classes in cc.mallet.types that implement ConstantMatrix
`class` | `AugmentableFeatureVector`
`class` | `DenseMatrix`
`class` | `DenseVector`
`class` | `ExpGain`
`class` | `FeatureCounts`
`class` | `FeatureVector` A subset of an `Alphabet` in which each element of the subset has an associated value.
`class` | `GainRatio` List 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` | `Matrix2` Deprecated.
`class` | `Matrixn` Implementation of Matrix that allows arbitrary number of dimensions.
`class` | `Multinomial` A probability distribution over a set of features represented as a `FeatureVector`.
`static class` | `Multinomial.Logged` A 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` | `SparseMatrixn` Implementation of Matrix that allows arbitrary number of dimensions.
`class` | `SparseVector` A vector that allocates memory only for non-zero values.

Methods in cc.mallet.types that return ConstantMatrix
`ConstantMatrix` | `FeatureVector.cloneMatrix()`
`ConstantMatrix` | `Matrixn.cloneMatrix()`
`ConstantMatrix` | `DenseVector.cloneMatrix()`
`ConstantMatrix` | `AugmentableFeatureVector.cloneMatrix()`
`abstract ConstantMatrix` | `DenseMatrix.cloneMatrix()`
`ConstantMatrix` | `Matrix2.cloneMatrix()` Deprecated.
`ConstantMatrix` | `SparseMatrixn.cloneMatrix()`
`ConstantMatrix` | `SparseVector.cloneMatrix()` CLONING
`ConstantMatrix` | `HashedSparseVector.cloneMatrix()`
`ConstantMatrix` | `ConstantMatrix.cloneMatrix()`
`ConstantMatrix` | `IndexedSparseVector.cloneMatrix()`
`ConstantMatrix` | `FeatureVector.cloneMatrixZeroed()`
`ConstantMatrix` | `AugmentableFeatureVector.cloneMatrixZeroed()`
`ConstantMatrix` | `SparseVector.cloneMatrixZeroed()`
`ConstantMatrix` | `HashedSparseVector.cloneMatrixZeroed()`
`ConstantMatrix` | `IndexedSparseVector.cloneMatrixZeroed()`

Methods in cc.mallet.types with parameters of type ConstantMatrix
`boolean` | `DenseMatrix.almostEquals(ConstantMatrix m2)`
`double` | `DenseMatrix.dotProduct(ConstantMatrix m)`
`double` | `SparseMatrixn.dotProduct(ConstantMatrix m)`
`double` | `SparseVector.dotProduct(ConstantMatrix m)`
`double` | `ConstantMatrix.dotProduct(ConstantMatrix m)`
`void` | `DenseMatrix.elementwiseDivideEquals(ConstantMatrix m)`
`void` | `SparseMatrixn.elementwiseDivideEquals(ConstantMatrix m)`
`void` | `Matrix.elementwiseDivideEquals(ConstantMatrix m)`
`void` | `DenseMatrix.elementwiseDivideEquals(ConstantMatrix m, double factor)`
`void` | `SparseMatrixn.elementwiseDivideEquals(ConstantMatrix m, double factor)`
`void` | `Matrix.elementwiseDivideEquals(ConstantMatrix m, double factor)`
`void` | `DenseMatrix.elementwiseTimesEquals(ConstantMatrix m)`
`void` | `SparseMatrixn.elementwiseTimesEquals(ConstantMatrix m)`
`void` | `Matrix.elementwiseTimesEquals(ConstantMatrix m)`
`void` | `DenseMatrix.elementwiseTimesEquals(ConstantMatrix m, double factor)`
`void` | `SparseMatrixn.elementwiseTimesEquals(ConstantMatrix m, double factor)`
`void` | `Matrix.elementwiseTimesEquals(ConstantMatrix m, double factor)`
`void` | `DenseMatrix.equalsPlus(double factor, ConstantMatrix m)`
`void` | `SparseMatrixn.equalsPlus(double factor, ConstantMatrix m)`
`void` | `Matrix.equalsPlus(double factor, ConstantMatrix m)`
`void` | `DenseMatrix.plusEquals(ConstantMatrix m)`
`void` | `SparseMatrixn.plusEquals(ConstantMatrix m)`
`void` | `Matrix.plusEquals(ConstantMatrix m)`
`void` | `DenseMatrix.plusEquals(ConstantMatrix m, double factor)`
`void` | `SparseMatrixn.plusEquals(ConstantMatrix m, double factor)`
`void` | `Matrix.plusEquals(ConstantMatrix m, double factor)`
`void` | `DenseMatrix.set(ConstantMatrix m)`
`void` | `SparseMatrixn.set(ConstantMatrix m)`
`void` | `Matrix.set(ConstantMatrix m)`
`void` | `DenseMatrix.setWithAddend(ConstantMatrix m, double addend)`
`void` | `SparseMatrixn.setWithAddend(ConstantMatrix m, double addend)`
`void` | `Matrix.setWithAddend(ConstantMatrix m, double addend)`
`void` | `DenseMatrix.setWithFactor(ConstantMatrix m, double factor)`
`void` | `SparseMatrixn.setWithFactor(ConstantMatrix m, double factor)`
`void` | `Matrix.setWithFactor(ConstantMatrix m, double factor)`
`boolean` | `Matrix2.sizeMatches(ConstantMatrix m)` Deprecated.

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