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 infrastructure for Stochastic Gradient Descent for 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 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.