Package org.apache.mahout.math

Core base classes; Operations on primitive arrays such as sorting, partitioning and permuting.

See: Description

Interface Summary

Interface	Description
Matrix	The basic interface including numerous convenience functions
MatrixTimesOps	Optional interface for optimized matrix multiplications.
QR
Swapper	Interface for an object that knows how to swap elements at two positions (a,b).
Vector	The basic interface including numerous convenience functions NOTE: All implementing classes must have a constructor that takes an int for cardinality and a no-arg constructor that can be used for marshalling the Writable instance NOTE: Implementations may choose to reuse the Vector.Element in the Iterable methods
Vector.Element	A holder for information about a specific item in the Vector.
VectorIterable

Class Summary

Class	Description
AbstractMatrix	A few universal implementations of convenience functions for a JVM-backed matrix.
AbstractMatrix.TransposeViewVector
AbstractVector	Implementations of generic capabilities like sum of elements and dot products
Algebra
Arrays	Array manipulations; complements java.util.Arrays.
BinarySearch
Centroid	A centroid is a weighted vector.
CholeskyDecomposition	Cholesky decomposition shamelessly ported from JAMA.
ConstantVector	Implements a vector with all the same values.
DelegatingVector	A delegating vector provides an easy way to decorate vectors with weights or id's and such while keeping all of the Vector functionality.
DenseMatrix	Matrix of doubles implemented using a 2-d array
DenseSymmetricMatrix	Economy packaging for a dense symmetric in-core matrix.
DenseVector	Implements vector as an array of doubles
DiagonalMatrix
FileBasedMatrix	Provides a way to get data from a file and treat it as if it were a matrix, but avoids putting all that data onto the Java heap.
FileBasedSparseBinaryMatrix	Provides a way to get data from a file and treat it as if it were a matrix, but avoids putting all that data onto the Java heap.
FileBasedSparseBinaryMatrix.BinaryReadOnlyElement
Matrices
MatrixSlice
MatrixVectorView	Provides a virtual vector that is really a row or column or diagonal of a matrix.
MatrixView	Implements subset view of a Matrix
MurmurHash	This is a very fast, non-cryptographic hash suitable for general hash-based lookup.
MurmurHash3	This produces exactly the same hash values as the final C+ + * version of MurmurHash3 and is thus suitable for producing the same hash values across platforms.
NamedVector
OldQRDecomposition	partially deprecated until unit tests are in place.
OrderedIntDoubleMapping
OrthonormalityVerifier
PermutedVectorView	Provides a permuted view of a vector.
PersistentObject	This empty class is the common root for all persistent capable classes.
PivotedMatrix	Matrix that allows transparent row and column permutation.
QRDecomposition	For an m x n matrix A with m >= n, the QR decomposition is an m x n orthogonal matrix Q and an n x n upper triangular matrix R so that A = Q*R.
RandomAccessSparseVector	Implements vector that only stores non-zero doubles
RandomTrinaryMatrix	Random matrix.
SequentialAccessSparseVector	Implements vector that only stores non-zero doubles as a pair of parallel arrays (OrderedIntDoubleMapping), one int[], one double[].
SingularValueDecomposition
Sorting
SparseColumnMatrix	Deprecated tons of inconsistences.
SparseMatrix	Doubly sparse matrix.
SparseRowMatrix	sparse matrix with general element values whose rows are accessible quickly.
UpperTriangular	Quick and dirty implementation of some Matrix methods over packed upper triangular matrix.
VectorBinaryAggregate	Abstract class encapsulating different algorithms that perform the Vector operations aggregate().
VectorBinaryAggregate.AggregateAllIterateSequential
VectorBinaryAggregate.AggregateAllIterateThatLookupThis
VectorBinaryAggregate.AggregateAllIterateThisLookupThat
VectorBinaryAggregate.AggregateAllLoop
VectorBinaryAggregate.AggregateIterateIntersection
VectorBinaryAggregate.AggregateIterateUnionRandom
VectorBinaryAggregate.AggregateIterateUnionSequential
VectorBinaryAggregate.AggregateNonzerosIterateThatLookupThis
VectorBinaryAggregate.AggregateNonzerosIterateThisLookupThat
VectorBinaryAssign	Abstract class encapsulating different algorithms that perform the Vector operations assign().
VectorBinaryAssign.AssignAllIterateSequentialInplaceUpdates
VectorBinaryAssign.AssignAllIterateSequentialMergeUpdates
VectorBinaryAssign.AssignAllIterateThatLookupThisInplaceUpdates
VectorBinaryAssign.AssignAllIterateThatLookupThisMergeUpdates
VectorBinaryAssign.AssignAllIterateThisLookupThatInplaceUpdates
VectorBinaryAssign.AssignAllIterateThisLookupThatMergeUpdates
VectorBinaryAssign.AssignAllLoopInplaceUpdates
VectorBinaryAssign.AssignAllLoopMergeUpdates
VectorBinaryAssign.AssignIterateIntersection	If f(x, 0) = x and f(0, y) = 0 the zeros in x and y don't matter and we can iterate through the nonzeros in both x and y.
VectorBinaryAssign.AssignIterateUnionRandomInplaceUpdates	If f(0, 0) = 0 we can iterate through the nonzeros in either x or y.
VectorBinaryAssign.AssignIterateUnionRandomMergeUpdates	If f(0, 0) = 0 we can iterate through the nonzeros in either x or y.
VectorBinaryAssign.AssignIterateUnionSequentialInplaceUpdates	If f(0, 0) = 0 we can iterate through the nonzeros in either x or y.
VectorBinaryAssign.AssignIterateUnionSequentialMergeUpdates	If f(0, 0) = 0 we can iterate through the nonzeros in either x or y.
VectorBinaryAssign.AssignNonzerosIterateThatLookupThisInplaceUpdates	If f(x, 0) = x, the zeros in y don't matter and we can simply iterate through the nonzeros of y.
VectorBinaryAssign.AssignNonzerosIterateThatLookupThisMergeUpdates	If f(x, 0) = x, the zeros in y don't matter and we can simply iterate through the nonzeros of y.
VectorBinaryAssign.AssignNonzerosIterateThisLookupThat	If f(0, y) = 0, the zeros in x don't matter and we can simply iterate through the nonzeros of x.
VectorView	Implements subset view of a Vector
WeightedVector	Decorates a vector with a floating point weight and an index.
WeightedVectorComparator	Orders WeightedVector by WeightedVector.getWeight().

Exception Summary

Exception	Description
CardinalityException	Exception thrown when there is a cardinality mismatch in matrix or vector operations.
IndexException	Exception thrown when a matrix or vector is accessed at an index, or dimension, which does not logically exist in the entity.

Package org.apache.mahout.math Description

Core base classes; Operations on primitive arrays such as sorting, partitioning and permuting.