Uses of Interface
org.apache.ignite.ml.math.Destroyable

Packages that use Destroyable

Package	Description
org.apache.ignite.ml.math	Contains main APIs for distributed code algebra.
org.apache.ignite.ml.math.decompositions	Contains matrix decompositions for distributed code algebra.
org.apache.ignite.ml.math.impls.matrix	Contains several matrix implementations.
org.apache.ignite.ml.math.impls.storage.matrix	Contains specific implementations for matrix storage models.
org.apache.ignite.ml.math.impls.storage.vector	Contains specific implementations for vector storage models.
org.apache.ignite.ml.math.impls.vector	Contains specific implementations for vectors.

Uses of Destroyable in org.apache.ignite.ml.math

Subinterfaces of Destroyable in org.apache.ignite.ml.math

Modifier and Type	Interface and Description
interface	Matrix A matrix interface.
interface	MatrixStorage Data storage support for Matrix.
interface	Vector A vector interface.
interface	VectorStorage Data storage support for Vector.

Uses of Destroyable in org.apache.ignite.ml.math.decompositions

Classes in org.apache.ignite.ml.math.decompositions that implement Destroyable

Modifier and Type	Class and Description
class	CholeskyDecomposition Calculates the Cholesky decomposition of a matrix.
class	DecompositionSupport Helper methods to support decomposition of matrix types having some functionality limited.
class	EigenDecomposition This class provides EigenDecomposition of given matrix.
class	LUDecomposition Calculates the LU-decomposition of a square matrix.
class	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.
class	SingularValueDecomposition Compute a singular value decomposition (SVD) of (l x k) matrix m.

Uses of Destroyable in org.apache.ignite.ml.math.impls.matrix

Classes in org.apache.ignite.ml.math.impls.matrix that implement Destroyable

Modifier and Type	Class and Description
class	AbstractMatrix This class provides a helper implementation of the Matrix interface to minimize the effort required to implement it.
class	CacheMatrix<K,V> Matrix based on existing cache and key and value mapping functions.
class	DenseLocalOffHeapMatrix Dense local off-heap implementation of the Matrix interface.
class	DenseLocalOnHeapMatrix Basic implementation for matrix.
class	DiagonalMatrix Implementation of diagonal view of the Matrix.
class	FunctionMatrix Implementation of Matrix that maps row and column index to java.util.function interfaces.
class	MatrixBlockEntry Block for SparseBlockDistributedMatrix.
class	MatrixView Implements the rectangular view into the parent Matrix.
class	PivotedMatrixView Pivoted (index mapped) view over another matrix implementation.
class	RandomMatrix Implementation of Matrix with random values in the elements.
class	SparseBlockDistributedMatrix Sparse block distributed matrix.
class	SparseDistributedMatrix Sparse distributed matrix implementation based on data grid.
class	SparseLocalOnHeapMatrix Sparse local onheap matrix with SparseLocalVector as rows.
class	TransposedMatrixView Implements transposed view of the parent Matrix.

Uses of Destroyable in org.apache.ignite.ml.math.impls.storage.matrix

Classes in org.apache.ignite.ml.math.impls.storage.matrix that implement Destroyable

Modifier and Type	Class and Description
class	ArrayMatrixStorage Array based MatrixStorage implementation.
class	BlockMatrixStorage Storage for SparseBlockDistributedMatrix.
class	BlockVectorStorage Storage for SparseBlockDistributedVector.
class	CacheMatrixStorage<K,V> Matrix storage based on arbitrary cache and key and value mapping functions.
class	DenseOffHeapMatrixStorage Local, dense off-heap matrix storage.
class	DiagonalMatrixStorage MatrixStorage implementation for diagonal Matrix view.
class	FunctionMatrixStorage Read-only or read-write function-based matrix storage.
class	MapWrapperStorage Storage for wrapping given map.
class	MatrixDelegateStorage MatrixStorage implementation that delegates to parent matrix.
class	PivotedMatrixStorage Pivoted (index mapped) view over another matrix storage implementation.
class	RandomMatrixStorage MatrixStorage implementation with random values in the matrix elements.
class	SparseDistributedMatrixStorage MatrixStorage implementation for SparseDistributedMatrix.
class	SparseLocalOnHeapMatrixStorage Storage for sparse, local, on-heap matrix.

Uses of Destroyable in org.apache.ignite.ml.math.impls.storage.vector

Classes in org.apache.ignite.ml.math.impls.storage.vector that implement Destroyable

Modifier and Type	Class and Description
class	ArrayVectorStorage Array based VectorStorage implementation.
class	CacheVectorStorage<K,V> Vector storage based on existing cache and index and value mapping functions.
class	ConstantVectorStorage Constant read-only vector storage.
class	DelegateVectorStorage VectorStorage implementation that delegates to parent matrix.
class	DenseLocalOffHeapVectorStorage Local, dense off-heap vector storage.
class	FunctionVectorStorage Read-only or read-write function-based vector storage.
class	MatrixVectorStorage Row, column or diagonal vector-based view of the matrix
class	PivotedVectorStorage Pivoted (index mapped) view over another vector storage implementation.
class	RandomVectorStorage VectorStorage implementation with random values in the vector elements.
class	SingleElementVectorDelegateStorage Single value view storage over another vector.
class	SingleElementVectorStorage Vector storage holding a single non-zero value at some index.
class	SparseDistributedVectorStorage VectorStorage implementation for SparseDistributedVector.
class	SparseLocalOffHeapVectorStorage VectorStorage implementation for SparseLocalOffHeapVector.
class	SparseLocalOnHeapVectorStorage Sparse, local, on-heap vector storage.

Uses of Destroyable in org.apache.ignite.ml.math.impls.vector

Classes in org.apache.ignite.ml.math.impls.vector that implement Destroyable

Modifier and Type	Class and Description
class	AbstractReadOnlyVector This class provides a helper implementation of the read-only implementation of Vector interface to minimize the effort required to implement it.
class	AbstractVector This class provides a helper implementation of the Vector interface to minimize the effort required to implement it.
class	CacheVector<K,V> Vector based on existing cache and index and value mapping functions.
class	ConstantVector Constant value, read-only vector.
class	DelegatingVector Convenient class that can be used to add decorations to an existing vector.
class	DenseLocalOffHeapVector Implementation for Vector assuming dense logic and local offheap JVM storage.
class	DenseLocalOnHeapVector Basic implementation for vector.
class	FunctionVector Implementation of Vector that maps vector element index to java.util.function interfaces.
class	MapWrapperVector Vector wrapping a given map.
class	MatrixVectorView Row or column vector view off the matrix.
class	PivotedVectorView Pivoted (index mapped) view over another vector.
class	RandomVector Random vector.
class	SingleElementVector Read-write vector holding a single non-zero value at some index.
class	SingleElementVectorView Single value vector view over another vector.
class	SparseBlockDistributedVector Sparse distributed vector implementation based on data grid.
class	SparseDistributedVector Sparse distributed vector implementation based on data grid.
class	SparseLocalOffHeapVector Implementation for Vector assuming sparse logic and local offheap JVM storage.
class	SparseLocalVector Local on-heap sparse vector based on hash map storage.
class	VectorBlockEntry Block for SparseBlockDistributedVector.
class	VectorView Implements the partial view into the parent Vector.