Uses of Package
org.tribuo.data

Packages that use org.tribuo.data

Package	Description
org.tribuo.classification	Provides classes and infrastructure for multiclass classification problems.
org.tribuo.classification.dtree	Provides implementations of decision trees for classification problems.
org.tribuo.classification.experiments	Provides a set of main methods for interacting with classification tasks.
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.sgd	Provides infrastructure for Stochastic Gradient Descent for classification problems.
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.xgboost	Provides an interface to XGBoost for classification 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.data	Provides classes for loading in data from disk, processing it into examples, and splitting datasets for things like cross-validation and train-test splits.
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	Provides infrastructure for Stochastic Gradient Descent based regression models.
org.tribuo.regression.sgd.fm	Provides an implementation of factorization machines for 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.

Classes in org.tribuo.data used by org.tribuo.classification

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.classification.dtree

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.classification.experiments

Class	Description
DataOptions	Options for working with training and test data in a CLI.
DataOptions.InputFormat	The input formats supported by this options object.

Classes in org.tribuo.data used by org.tribuo.classification.liblinear

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.classification.libsvm

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.classification.mnb

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.classification.sgd

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.classification.sgd.fm

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.classification.sgd.kernel

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.classification.xgboost

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.clustering.hdbscan

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.clustering.kmeans

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.data

Class	Description
DataOptions	Options for working with training and test data in a CLI.
DataOptions.Delimiter	The delimiters supported by CSV files in this options object.
DataOptions.InputFormat	The input formats supported by this options object.

Classes in org.tribuo.data used by org.tribuo.regression.liblinear

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.regression.libsvm

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.regression.rtree

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.regression.sgd

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.regression.sgd.fm

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.regression.slm

Class	Description
DataOptions	Options for working with training and test data in a CLI.

Classes in org.tribuo.data used by org.tribuo.regression.xgboost

Class	Description
DataOptions	Options for working with training and test data in a CLI.