Uses of Interface
org.tribuo.WeightedExamples

Packages that use WeightedExamples

Package	Description
org.tribuo.classification.dtree	Provides implementations of decision trees 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.crf	Provides an implementation of a linear chain CRF trained 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.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.regression.rtree	Provides an implementation of decision trees for regression problems.
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.

Uses of WeightedExamples in org.tribuo.classification.dtree

Classes in org.tribuo.classification.dtree that implement WeightedExamples

Modifier and Type	Class and Description
class	CARTClassificationTrainer A Trainer that uses an approximation of the CART algorithm to build a decision tree.

Uses of WeightedExamples in org.tribuo.classification.mnb

Classes in org.tribuo.classification.mnb that implement WeightedExamples

Modifier and Type	Class and Description
class	MultinomialNaiveBayesTrainer A Trainer which trains a multinomial Naive Bayes model with Laplace smoothing.

Uses of WeightedExamples in org.tribuo.classification.sgd.crf

Classes in org.tribuo.classification.sgd.crf that implement WeightedExamples

Modifier and Type	Class and Description
class	CRFTrainer A trainer for CRFs using SGD.

Uses of WeightedExamples in org.tribuo.classification.sgd.kernel

Classes in org.tribuo.classification.sgd.kernel that implement WeightedExamples

Modifier and Type	Class and Description
class	KernelSVMTrainer A trainer for a kernelised model using the Pegasos optimiser.

Uses of WeightedExamples in org.tribuo.classification.sgd.linear

Classes in org.tribuo.classification.sgd.linear that implement WeightedExamples

Modifier and Type	Class and Description
class	LinearSGDTrainer A trainer for a linear classifier using SGD.
class	LogisticRegressionTrainer A logistic regression trainer that uses a reasonable objective, optimiser, number of epochs and minibatch size.

Uses of WeightedExamples in org.tribuo.classification.xgboost

Classes in org.tribuo.classification.xgboost that implement WeightedExamples

Modifier and Type	Class and Description
class	XGBoostClassificationTrainer A Trainer which wraps the XGBoost training procedure.

Uses of WeightedExamples in org.tribuo.common.sgd

Classes in org.tribuo.common.sgd that implement WeightedExamples

Modifier and Type	Class and Description
class	AbstractLinearSGDTrainer<T extends Output<T>,U> A trainer for a linear model which uses SGD.
class	AbstractSGDTrainer<T extends Output<T>,U,V extends Model<T>,X extends FeedForwardParameters> A trainer for a model which uses SGD.

Uses of WeightedExamples in org.tribuo.common.tree

Subinterfaces of WeightedExamples in org.tribuo.common.tree

Modifier and Type	Interface and Description
interface	DecisionTreeTrainer<T extends Output<T>> A tag interface for a Trainer so the random forests trainer can check if it's actually a tree.

Classes in org.tribuo.common.tree that implement WeightedExamples

Modifier and Type	Class and Description
class	AbstractCARTTrainer<T extends Output<T>> Base class for Trainer's that use an approximation of the CART algorithm to build a decision tree.

Uses of WeightedExamples in org.tribuo.common.xgboost

Classes in org.tribuo.common.xgboost that implement WeightedExamples

Modifier and Type	Class and Description
class	XGBoostTrainer<T extends Output<T>> A Trainer which wraps the XGBoost training procedure.

Uses of WeightedExamples in org.tribuo.regression.rtree

Classes in org.tribuo.regression.rtree that implement WeightedExamples

Modifier and Type	Class and Description
class	CARTJointRegressionTrainer A Trainer that uses an approximation of the CART algorithm to build a decision tree.
class	CARTRegressionTrainer A Trainer that uses an approximation of the CART algorithm to build a decision tree.

Uses of WeightedExamples in org.tribuo.regression.slm

Classes in org.tribuo.regression.slm that implement WeightedExamples

Modifier and Type	Class and Description
class	LARSLassoTrainer A trainer for a lasso linear regression model which uses LARS to construct the model.
class	LARSTrainer A trainer for a linear regression model which uses least angle regression.
class	SLMTrainer A trainer for a sparse linear regression model.

Uses of WeightedExamples in org.tribuo.regression.xgboost

Classes in org.tribuo.regression.xgboost that implement WeightedExamples

Modifier and Type	Class and Description
class	XGBoostRegressionTrainer A Trainer which wraps the XGBoost training procedure.