Uses of Package
org.tribuo.protos

Packages that use org.tribuo.protos
Package
Description
org.tribuo
Provides the core interfaces and classes for using Tribuo.
org.tribuo.anomaly
Provides classes and infrastructure for anomaly detection problems.
org.tribuo.anomaly.liblinear
Provides an interface to LibLinear-java for anomaly detection problems.
org.tribuo.anomaly.libsvm
Provides an interface to LibSVM for anomaly detection problems.
org.tribuo.classification
Provides classes and infrastructure for multiclass classification problems.
org.tribuo.classification.baseline
Provides simple baseline multiclass classifiers.
org.tribuo.classification.ensemble
Provides majority vote ensemble combiners for classification along with an implementation of multiclass Adaboost.
org.tribuo.classification.liblinear
Provides an interface to LibLinear-java for classification problems.
org.tribuo.classification.libsvm
Provides an interface to LibSVM for classification problems.
org.tribuo.classification.mnb
Provides an implementation of multinomial naive bayes (i.e., naive bayes for non-negative count data).
org.tribuo.classification.sequence
Provides infrastructure for SequenceModels which emit Labels at each step of the sequence.
org.tribuo.classification.sequence.viterbi
Provides an implementation of Viterbi for generating structured outputs, which can sit on top of any Label based classification model.
org.tribuo.classification.sgd.crf
Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
org.tribuo.classification.sgd.fm
Provides an implementation of a classification factorization machine using Stochastic Gradient Descent.
org.tribuo.classification.sgd.kernel
Provides a SGD implementation of a Kernel SVM using the Pegasos algorithm.
org.tribuo.classification.sgd.linear
Provides an implementation of a classification linear model using Stochastic Gradient Descent.
org.tribuo.classification.xgboost
Provides an interface to XGBoost for classification problems.
org.tribuo.clustering
Provides classes and infrastructure for working with clustering problems.
org.tribuo.clustering.hdbscan
Provides an implementation of HDBSCAN*.
org.tribuo.clustering.kmeans
Provides a multithreaded implementation of K-Means, with a configurable distance function.
org.tribuo.common.liblinear
Provides base classes for using liblinear from Tribuo.
org.tribuo.common.libsvm
The base interface to LibSVM.
org.tribuo.common.nearest
Provides a K-Nearest Neighbours implementation which works across all Tribuo Output types.
org.tribuo.common.sgd
Provides the base classes for models trained with stochastic gradient descent.
org.tribuo.common.tree
Provides common functionality for building decision trees, irrespective of the predicted Output.
org.tribuo.common.xgboost
Provides abstract classes for interfacing with XGBoost abstracting away all the Output dependent parts.
org.tribuo.dataset
Provides utility datasets which subsample or otherwise transform the wrapped dataset.
org.tribuo.ensemble
Provides an interface for model prediction combinations, two base classes for ensemble models, a base class for ensemble excuses, and a Bagging implementation.
org.tribuo.hash
Provides the base interface and implementations of the Model hashing which obscures the feature names stored in a model.
org.tribuo.impl
Provides implementations of base classes and interfaces from org.tribuo.
org.tribuo.interop
This package contains the abstract implementation of an external model trained by something outside of Tribuo.
org.tribuo.interop.oci
Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
org.tribuo.interop.onnx
This package contains a Tribuo wrapper around ONNX Runtime.
org.tribuo.interop.tensorflow
Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
org.tribuo.interop.tensorflow.sequence
Provides an interface for working with TensorFlow sequence models, using Tribuo's SequenceModel abstraction.
org.tribuo.math
Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of math related utils.
org.tribuo.math.distance
An interface for distance computations between two SGDVector instances along with some standard implementations.
org.tribuo.math.kernel
Provides a Kernel interface for Mercer kernels, along with implementations of standard kernels.
org.tribuo.math.la
Provides a linear algebra system used for numerical operations in Tribuo.
org.tribuo.math.neighbour
Provides nearest neighbour query functionality.
org.tribuo.math.neighbour.bruteforce
Provides a brute-force nearest neighbour query implementation.
org.tribuo.math.neighbour.kdtree
Provides a k-d tree nearest neighbour query implementation.
org.tribuo.math.optimisers.util
Provides some utility tensors for use in gradient optimisers.
org.tribuo.math.util
Provides math related util classes.
org.tribuo.multilabel
Provides classes and infrastructure for working with multi-label classification problems.
org.tribuo.multilabel.baseline
Provides implementations of binary relevance based multi-label classification algorithms.
org.tribuo.multilabel.ensemble
Provides a multi-label ensemble combiner that performs a (possibly weighted) majority vote among each label independently, along with an implementation of classifier chain ensembles.
org.tribuo.multilabel.sgd.fm
Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
org.tribuo.multilabel.sgd.linear
Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
org.tribuo.protos
Classes which control the serialization of Tribuo objects to and from protocol buffers.
org.tribuo.regression
Provides classes and infrastructure for regression problems with single or multiple output dimensions.
org.tribuo.regression.baseline
Provides simple baseline regression predictors.
org.tribuo.regression.ensemble
Provides EnsembleCombiner implementations for working with multi-output regression problems.
org.tribuo.regression.impl
Provides skeletal implementations of Regressor Trainer that can wrap a single dimension trainer/model and produce one prediction per dimension independently.
org.tribuo.regression.liblinear
Provides an interface to liblinear for regression problems.
org.tribuo.regression.libsvm
Provides an interface to LibSVM for regression problems.
org.tribuo.regression.rtree
Provides an implementation of decision trees for regression problems.
org.tribuo.regression.sgd.fm
Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
org.tribuo.regression.sgd.linear
Provides an implementation of linear regression using Stochastic Gradient Descent.
org.tribuo.regression.slm
Provides implementations of sparse linear regression using various forms of regularisation penalty.
org.tribuo.regression.xgboost
Provides an interface to XGBoost for regression problems.
org.tribuo.sequence
Provides core classes for working with sequences of Examples.
org.tribuo.transform
Provides infrastructure for applying transformations to a Dataset.
org.tribuo.transform.transformations
Provides implementations of standard transformations like binning, scaling, taking logs and exponents.