Uses of Interface
org.tribuo.math.la.SGDVector

Packages that use SGDVector
Package
Description
Provides infrastructure for Stochastic Gradient Descent for classification problems.
Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
Provides classification loss functions for Stochastic Gradient Descent.
Provides an implementation of HDBSCAN*.
Provides a multithreaded implementation of K-Means, with a configurable distance function.
Provides the base classes for models trained with stochastic gradient descent.
Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of math related utils.
An interface for distance computations between two SGDVector instances along with some standard implementations.
Provides a linear algebra system used for numerical operations in Tribuo.
Provides nearest neighbour query functionality.
Provides a brute-force nearest neighbour query implementation.
Provides a k-d tree nearest neighbour query implementation.
Utilities for converting Tribuo math objects into ONNX representations.
Provides some utility tensors for use in gradient optimisers.
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 multi-label classification loss functions for Stochastic Gradient Descent.
Provides infrastructure for Stochastic Gradient Descent based regression models.
Provides regression loss functions for Stochastic Gradient Descent.