Uses of Class
org.tribuo.math.la.DenseVector

Packages that use DenseVector
Package
Description
Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
Provides a multithreaded implementation of K-Means, with a configurable distance function.
Provides the base classes for models trained with stochastic gradient descent.
Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of math related utils.
A package of statistical distributions.
Provides a linear algebra system used for numerical operations in Tribuo.
Provides some utility tensors for use in gradient optimisers.
Provides classes and infrastructure for working with multi-label classification problems.
Provides infrastructure for Stochastic Gradient Descent based regression models.
Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
Provides an implementation of linear regression using Stochastic Gradient Descent.
Provides regression loss functions for Stochastic Gradient Descent.
Provides implementations of sparse linear regression using various forms of regularisation penalty.