Package org.tribuo.classification

package org.tribuo.classification

Provides classes and infrastructure for multiclass classification problems.

The multiclass Output implementation is called Label and has an associated Evaluator, OutputFactory and OutputInfos.

Note: Tribuo has no specialisation for binary classification, all classification tasks are considered to be multiclass, and all classification models work for multiclass problems.

Related Packages

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.classification.baseline	Provides simple baseline multiclass classifiers.
org.tribuo.classification.dtree	Provides implementations of decision trees for classification problems.
org.tribuo.classification.ensemble	Provides majority vote ensemble combiners for classification along with an implementation of multiclass Adaboost.
org.tribuo.classification.evaluation	Evaluation classes for multi-class classification.
org.tribuo.classification.example	Provides a multiclass data generator used for testing implementations, along with several synthetic data generators for 2d binary classification problems to be used in demos or tutorials.
org.tribuo.classification.experiments	Provides a set of main methods for interacting with classification tasks.
org.tribuo.classification.explanations	Provides core infrastructure for local model based explanations.
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.sgd	Provides infrastructure for Stochastic Gradient Descent for classification problems.
org.tribuo.classification.xgboost	Provides an interface to XGBoost for classification problems.

Class	Description
Classifiable<T extends Classifiable<T>>	A tag interface for multi-class and multi-label classification tasks.
ClassificationOptions<TRAINER extends Trainer<Label>>	An Options that can produce a classification Trainer based on the provided arguments.
ImmutableLabelInfo	An ImmutableOutputInfo object for Labels.
Label	An immutable multi-class classification label.
LabelFactory	A factory for making Label related classes.
LabelFactory.LabelFactoryProvenance	Provenance for LabelFactory.
LabelInfo	The base class for information about multi-class classification Labels.
MutableLabelInfo	A mutable LabelInfo.
TrainTestHelper	This class provides static methods used by the demo classes in each classification backend.
WeightedLabels	Tag interface denoting the Trainer can use label weights.