Uses of Package
org.tribuo.math.la

Packages that use org.tribuo.math.la

Package	Description
org.tribuo.classification.explanations.lime	Provides an implementation of LIME (Locally Interpretable Model Explanations).
org.tribuo.classification.sgd	Provides infrastructure for Stochastic Gradient Descent for classification problems.
org.tribuo.classification.sgd.crf	Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
org.tribuo.classification.sgd.objectives	Provides classification loss functions for Stochastic Gradient Descent.
org.tribuo.clustering.hdbscan	Provides an implementation of HDBSCAN*.
org.tribuo.clustering.kmeans	Provides a multithreaded implementation of K-Means, with a configurable distance function.
org.tribuo.common.sgd	Provides the base classes for models trained with stochastic gradient descent.
org.tribuo.common.tree	Provides common functionality for building decision trees, irrespective of the predicted Output.
org.tribuo.common.xgboost	Provides abstract classes for interfacing with XGBoost abstracting away all the Output dependent parts.
org.tribuo.interop	This package contains the abstract implementation of an external model trained by something outside of Tribuo.
org.tribuo.interop.oci	Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
org.tribuo.interop.onnx	This package contains a Tribuo wrapper around ONNX Runtime.
org.tribuo.interop.tensorflow	Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
org.tribuo.math	Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of math related utils.
org.tribuo.math.distance	An interface for distance computations between two SGDVector instances along with some standard implementations.
org.tribuo.math.distributions	A package of statistical distributions.
org.tribuo.math.kernel	Provides a Kernel interface for Mercer kernels, along with implementations of standard kernels.
org.tribuo.math.la	Provides a linear algebra system used for numerical operations in Tribuo.
org.tribuo.math.neighbour	Provides nearest neighbour query functionality.
org.tribuo.math.neighbour.bruteforce	Provides a brute-force nearest neighbour query implementation.
org.tribuo.math.neighbour.kdtree	Provides a k-d tree nearest neighbour query implementation.
org.tribuo.math.onnx	Utilities for converting Tribuo math objects into ONNX representations.
org.tribuo.math.optimisers	Provides implementations of StochasticGradientOptimiser.
org.tribuo.math.optimisers.util	Provides some utility tensors for use in gradient optimisers.
org.tribuo.math.util	Provides math related util classes.
org.tribuo.multilabel	Provides classes and infrastructure for working with multi-label classification problems.
org.tribuo.multilabel.sgd.fm	Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
org.tribuo.multilabel.sgd.linear	Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
org.tribuo.multilabel.sgd.objectives	Provides multi-label classification loss functions for Stochastic Gradient Descent.
org.tribuo.regression.impl	Provides skeletal implementations of Regressor Trainer that can wrap a single dimension trainer/model and produce one prediction per dimension independently.
org.tribuo.regression.sgd	Provides infrastructure for Stochastic Gradient Descent based regression models.
org.tribuo.regression.sgd.fm	Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
org.tribuo.regression.sgd.linear	Provides an implementation of linear regression using Stochastic Gradient Descent.
org.tribuo.regression.sgd.objectives	Provides regression loss functions for Stochastic Gradient Descent.
org.tribuo.regression.slm	Provides implementations of sparse linear regression using various forms of regularisation penalty.

Classes in org.tribuo.math.la used by org.tribuo.classification.explanations.lime

Class	Description
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.classification.sgd

Class	Description
SGDVector	Interface for 1 dimensional Tensors.
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.classification.sgd.crf

Class	Description
DenseMatrix	A dense matrix, backed by a primitive array.
DenseVector	A dense vector, backed by a double array.
SGDVector	Interface for 1 dimensional Tensors.
SparseVector	A sparse vector.
Tensor	An interface for Tensors, currently Vectors and Matrices.

Classes in org.tribuo.math.la used by org.tribuo.classification.sgd.objectives

Class	Description
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.clustering.hdbscan

Class	Description
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.clustering.kmeans

Class	Description
DenseVector	A dense vector, backed by a double array.
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.common.sgd

Class	Description
DenseMatrix	A dense matrix, backed by a primitive array.
DenseVector	A dense vector, backed by a double array.
SGDVector	Interface for 1 dimensional Tensors.
Tensor	An interface for Tensors, currently Vectors and Matrices.

Classes in org.tribuo.math.la used by org.tribuo.common.tree

Class	Description
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.common.xgboost

Class	Description
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.interop

Class	Description
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.interop.oci

Class	Description
DenseMatrix	A dense matrix, backed by a primitive array.
DenseVector	A dense vector, backed by a double array.
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.interop.onnx

Class	Description
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.interop.tensorflow

Class	Description
SGDVector	Interface for 1 dimensional Tensors.
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.math

Class	Description
DenseMatrix	A dense matrix, backed by a primitive array.
DenseVector	A dense vector, backed by a double array.
SGDVector	Interface for 1 dimensional Tensors.
Tensor	An interface for Tensors, currently Vectors and Matrices.

Classes in org.tribuo.math.la used by org.tribuo.math.distance

Class	Description
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.math.distributions

Class	Description
DenseMatrix	A dense matrix, backed by a primitive array.
DenseVector	A dense vector, backed by a double array.

Classes in org.tribuo.math.la used by org.tribuo.math.kernel

Class	Description
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.math.la

Class	Description
DenseMatrix	A dense matrix, backed by a primitive array.
DenseMatrix.CholeskyFactorization	The output of a successful Cholesky factorization.
DenseMatrix.EigenDecomposition	The output of a successful eigen decomposition.
DenseMatrix.LUFactorization	The output of a successful LU factorization.
DenseSparseMatrix	A matrix which is dense in the first dimension and sparse in the second.
DenseVector	A dense vector, backed by a double array.
Matrix	Interface for 2 dimensional Tensors.
Matrix.Factorization	Interface for matrix factorizations.
MatrixIterator	A Comparable Iterator over MatrixTuples.
MatrixTuple	A mutable tuple used to avoid allocation when iterating a matrix.
SGDVector	Interface for 1 dimensional Tensors.
SparseVector	A sparse vector.
Tensor	An interface for Tensors, currently Vectors and Matrices.
VectorIterator	A Comparable Iterator over VectorTuples.
VectorTuple	A mutable tuple used to avoid allocation when iterating a vector.

Classes in org.tribuo.math.la used by org.tribuo.math.neighbour

Class	Description
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.math.neighbour.bruteforce

Class	Description
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.math.neighbour.kdtree

Class	Description
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.math.onnx

Class	Description
Matrix	Interface for 2 dimensional Tensors.
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.math.optimisers

Class	Description
Tensor	An interface for Tensors, currently Vectors and Matrices.

Classes in org.tribuo.math.la used by org.tribuo.math.optimisers.util

Class	Description
DenseMatrix	A dense matrix, backed by a primitive array.
DenseVector	A dense vector, backed by a double array.
Matrix	Interface for 2 dimensional Tensors.
MatrixIterator	A Comparable Iterator over MatrixTuples.
SGDVector	Interface for 1 dimensional Tensors.
Tensor	An interface for Tensors, currently Vectors and Matrices.
VectorIterator	A Comparable Iterator over VectorTuples.

Classes in org.tribuo.math.la used by org.tribuo.math.util

Class	Description
DenseSparseMatrix	A matrix which is dense in the first dimension and sparse in the second.
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.multilabel

Class	Description
DenseVector	A dense vector, backed by a double array.
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.multilabel.sgd.fm

Class	Description
SGDVector	Interface for 1 dimensional Tensors.
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.multilabel.sgd.linear

Class	Description
SGDVector	Interface for 1 dimensional Tensors.
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.multilabel.sgd.objectives

Class	Description
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.regression.impl

Class	Description
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.regression.sgd

Class	Description
DenseVector	A dense vector, backed by a double array.
SGDVector	Interface for 1 dimensional Tensors.
SparseVector	A sparse vector.

Classes in org.tribuo.math.la used by org.tribuo.regression.sgd.fm

Class	Description
DenseVector	A dense vector, backed by a double array.

Classes in org.tribuo.math.la used by org.tribuo.regression.sgd.linear

Class	Description
DenseVector	A dense vector, backed by a double array.

Classes in org.tribuo.math.la used by org.tribuo.regression.sgd.objectives

Class	Description
DenseVector	A dense vector, backed by a double array.
SGDVector	Interface for 1 dimensional Tensors.

Classes in org.tribuo.math.la used by org.tribuo.regression.slm

Class	Description
DenseVector	A dense vector, backed by a double array.
SparseVector	A sparse vector.