Uses of Annotation Interface
org.tribuo.protos.ProtoSerializableClass

Packages that use ProtoSerializableClass
Package
Description
Provides the core interfaces and classes for using Tribuo.
Provides classes and infrastructure for anomaly detection problems.
Provides classes and infrastructure for multiclass classification problems.
Provides an implementation of Viterbi for generating structured outputs, which can sit on top of any Label based classification model.
Provides an interface to XGBoost for classification problems.
Provides classes and infrastructure for working with clustering problems.
Provides the base interface and implementations of the Model hashing which obscures the feature names stored in a model.
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.
Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of math related utils.
Provides a Kernel interface for Mercer kernels, along with implementations of standard kernels.
Provides a brute-force nearest neighbour query implementation.
Provides a k-d tree nearest neighbour query implementation.
Provides classes and infrastructure for working with multi-label classification problems.
Provides an interface to XGBoost for regression problems.
Provides core classes for working with sequences of Examples.
Provides implementations of standard transformations like binning, scaling, taking logs and exponents.