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

Packages that use SparseVector
Package
Description
Provides an implementation of LIME (Locally Interpretable Model Explanations).
Provides infrastructure for Stochastic Gradient Descent for classification problems.
Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
Provides common functionality for building decision trees, irrespective of the predicted Output.
Provides abstract classes for interfacing with XGBoost abstracting away all the Output dependent parts.
This package contains the abstract implementation of an external model trained by something outside of Tribuo.
Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
This package contains a Tribuo wrapper around ONNX Runtime.
Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
Provides a Kernel interface for Mercer kernels, along with implementations of standard kernels.
Provides a linear algebra system used for numerical operations in Tribuo.
Provides math related util classes.
Provides classes and infrastructure for working with multi-label classification problems.
Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
Provides skeletal implementations of Regressor Trainer that can wrap a single dimension trainer/model and produce one prediction per dimension independently.
Provides infrastructure for Stochastic Gradient Descent based regression models.
Provides implementations of sparse linear regression using various forms of regularisation penalty.