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.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.onnx	This package contains a Tribuo wrapper around the 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.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.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.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.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 and Description
SparseVector A sparse vector.

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

Class and 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 and 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 and Description
SGDVector Interface for 1 dimensional Tensors.

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

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

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

Class and 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.

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

Class and Description
SparseVector A sparse vector.

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

Class and Description
SparseVector A sparse vector.

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

Class and Description
SparseVector A sparse vector.

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

Class and Description
SparseVector A sparse vector.

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

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

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

Class and 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.kernel

Class and Description
SparseVector A sparse vector.

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

Class and Description
DenseMatrix A dense matrix, backed by a primitive array.
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.
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.optimisers

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

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

Class and 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 and 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 and 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.linear

Class and 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 and Description
SGDVector Interface for 1 dimensional Tensors.

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

Class and Description
SparseVector A sparse vector.

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

Class and 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.sgd.linear

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

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

Class and 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 and Description
SparseVector A sparse vector.