Uses of Interface
org.tribuo.Trainer

Packages that use Trainer

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
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.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.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.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.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.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.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.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.evaluation	Evaluation base classes, along with code for train/test splits and cross validation.
org.tribuo.hash	Provides the base interface and implementations of the Model hashing which obscures the feature names stored in a model.
org.tribuo.interop.tensorflow	Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
org.tribuo.multilabel.baseline	Provides an implementation of independent multi-label classification that wraps a Label Trainer and uses it to make independent predictions of each label.
org.tribuo.provenance	Provides Tribuo specific infrastructure for the Provenance system which tracks models and datasets.
org.tribuo.provenance.impl	Provides internal implementations for empty provenance classes and TrainerProvenance.
org.tribuo.regression.baseline	Provides simple baseline regression predictors.
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.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.

Uses of Trainer in org.tribuo

Subinterfaces of Trainer in org.tribuo

Modifier and Type	Interface and Description
interface	IncrementalTrainer<T extends Output<T>,U extends Model<T>> An interface for incremental training of Models.
interface	SparseTrainer<T extends Output<T>> Denotes this trainer emits a SparseModel.

Uses of Trainer in org.tribuo.anomaly.liblinear

Classes in org.tribuo.anomaly.liblinear that implement Trainer

Modifier and Type	Class and Description
class	LibLinearAnomalyTrainer A Trainer which wraps a liblinear-java anomaly detection trainer using a one-class SVM.

Uses of Trainer in org.tribuo.anomaly.libsvm

Classes in org.tribuo.anomaly.libsvm that implement Trainer

Modifier and Type	Class and Description
class	LibSVMAnomalyTrainer A trainer for anomaly models that uses LibSVM.

Uses of Trainer in org.tribuo.classification

Classes in org.tribuo.classification with type parameters of type Trainer

Modifier and Type	Interface and Description
interface	ClassificationOptions<TRAINER extends Trainer<Label>> An Options that can produce a classification Trainer based on the provided arguments.

Methods in org.tribuo.classification with parameters of type Trainer

Modifier and Type	Method and Description
static Model<Label>	TrainTestHelper.run(com.oracle.labs.mlrg.olcut.config.ConfigurationManager cm, DataOptions dataOptions, Trainer<Label> trainer) This method trains a model on the specified training data, and evaluates it on the specified test data.

Uses of Trainer in org.tribuo.classification.baseline

Classes in org.tribuo.classification.baseline that implement Trainer

Modifier and Type	Class and Description
class	DummyClassifierTrainer A trainer for simple baseline classifiers.

Uses of Trainer in org.tribuo.classification.dtree

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

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 Trainer in org.tribuo.classification.ensemble

Classes in org.tribuo.classification.ensemble that implement Trainer

Modifier and Type	Class and Description
class	AdaBoostTrainer Implements Adaboost.SAMME one of the more popular algorithms for multiclass boosting.

Fields in org.tribuo.classification.ensemble declared as Trainer

Modifier and Type	Field and Description
protected Trainer<Label>	AdaBoostTrainer.innerTrainer

Methods in org.tribuo.classification.ensemble that return Trainer

Modifier and Type	Method and Description
Trainer<Label>	ClassificationEnsembleOptions.wrapTrainer(Trainer<Label> trainer) Wraps the supplied trainer using the ensemble trainer described by these options.

Methods in org.tribuo.classification.ensemble with parameters of type Trainer

Modifier and Type	Method and Description
Trainer<Label>	ClassificationEnsembleOptions.wrapTrainer(Trainer<Label> trainer) Wraps the supplied trainer using the ensemble trainer described by these options.

Constructors in org.tribuo.classification.ensemble with parameters of type Trainer

Constructor and Description
AdaBoostTrainer(Trainer<Label> trainer, int numMembers) Constructs an adaboost trainer using the supplied weak learner trainer and the specified number of boosting rounds.
AdaBoostTrainer(Trainer<Label> trainer, int numMembers, long seed) Constructs an adaboost trainer using the supplied weak learner trainer, the specified number of boosting rounds and the supplied seed.

Uses of Trainer in org.tribuo.classification.experiments

Fields in org.tribuo.classification.experiments declared as Trainer

Modifier and Type	Field and Description
Trainer<Label>	ConfigurableTrainTest.ConfigurableTrainTestOptions.trainer

Methods in org.tribuo.classification.experiments that return Trainer

Modifier and Type	Method and Description
Trainer<Label>	AllTrainerOptions.getTrainer()

Uses of Trainer in org.tribuo.classification.liblinear

Classes in org.tribuo.classification.liblinear that implement Trainer

Modifier and Type	Class and Description
class	LibLinearClassificationTrainer A Trainer which wraps a liblinear-java classifier trainer.

Uses of Trainer in org.tribuo.classification.libsvm

Classes in org.tribuo.classification.libsvm that implement Trainer

Modifier and Type	Class and Description
class	LibSVMClassificationTrainer A trainer for classification models that uses LibSVM.

Uses of Trainer in org.tribuo.classification.mnb

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

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

Uses of Trainer in org.tribuo.classification.sequence.viterbi

Methods in org.tribuo.classification.sequence.viterbi with parameters of type Trainer

Modifier and Type	Method and Description
ViterbiTrainer	ViterbiTrainerOptions.getSequenceTrainer(Trainer<Label> innerTrainer) Creates a viterbi trainer wrapping the supplied label trainer.

Constructors in org.tribuo.classification.sequence.viterbi with parameters of type Trainer

Constructor and Description
ViterbiTrainer(Trainer<Label> trainer, LabelFeatureExtractor labelFeatureExtractor, int stackSize, ViterbiModel.ScoreAggregation scoreAggregation)
ViterbiTrainer(Trainer<Label> trainer, LabelFeatureExtractor labelFeatureExtractor, ViterbiModel.ScoreAggregation scoreAggregation)

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

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

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

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

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

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 Trainer in org.tribuo.classification.xgboost

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

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

Uses of Trainer in org.tribuo.clustering.kmeans

Classes in org.tribuo.clustering.kmeans that implement Trainer

Modifier and Type	Class and Description
class	KMeansTrainer A K-Means trainer, which generates a K-means clustering of the supplied data.

Uses of Trainer in org.tribuo.common.liblinear

Classes in org.tribuo.common.liblinear that implement Trainer

Modifier and Type	Class and Description
class	LibLinearTrainer<T extends Output<T>> A Trainer which wraps a liblinear-java trainer.

Uses of Trainer in org.tribuo.common.libsvm

Classes in org.tribuo.common.libsvm that implement Trainer

Modifier and Type	Class and Description
class	LibSVMTrainer<T extends Output<T>> A trainer that will train using libsvm's Java implementation.

Uses of Trainer in org.tribuo.common.nearest

Classes in org.tribuo.common.nearest that implement Trainer

Modifier and Type	Class and Description
class	KNNTrainer<T extends Output<T>> A Trainer for k-nearest neighbour models.

Uses of Trainer in org.tribuo.common.sgd

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

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 Trainer in org.tribuo.common.tree

Subinterfaces of Trainer 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 Trainer

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.
class	ExtraTreesTrainer<T extends Output<T>> A trainer which produces an Extremely Randomized Tree Ensemble.
class	RandomForestTrainer<T extends Output<T>> A trainer which produces a random forest.

Uses of Trainer in org.tribuo.common.xgboost

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

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

Uses of Trainer in org.tribuo.data

Fields in org.tribuo.data declared as Trainer

Modifier and Type	Field and Description
Trainer<?>	ConfigurableTrainTest.ConfigurableTrainTestOptions.trainer
Trainer<?>	CompletelyConfigurableTrainTest.ConfigurableTrainTestOptions.trainer

Uses of Trainer in org.tribuo.ensemble

Classes in org.tribuo.ensemble that implement Trainer

Modifier and Type	Class and Description
class	BaggingTrainer<T extends Output<T>> A Trainer that wraps another trainer and produces a bagged ensemble.

Fields in org.tribuo.ensemble declared as Trainer

Modifier and Type	Field and Description
protected Trainer<T>	BaggingTrainer.innerTrainer

Constructors in org.tribuo.ensemble with parameters of type Trainer

Constructor and Description
BaggingTrainer(Trainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers)
BaggingTrainer(Trainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers, long seed)

Uses of Trainer in org.tribuo.evaluation

Constructors in org.tribuo.evaluation with parameters of type Trainer

Constructor and Description
CrossValidation(Trainer<T> trainer, Dataset<T> data, Evaluator<T,E> evaluator, int k) Builds a k-fold cross-validation loop.
CrossValidation(Trainer<T> trainer, Dataset<T> data, Evaluator<T,E> evaluator, int k, long seed) Builds a k-fold cross-validation loop.

Uses of Trainer in org.tribuo.hash

Classes in org.tribuo.hash that implement Trainer

Modifier and Type	Class and Description
class	HashingTrainer<T extends Output<T>> A Trainer which hashes the Dataset before the Model is produced.

Methods in org.tribuo.hash that return Trainer

Modifier and Type	Method and Description
<T extends Output<T>> Trainer<T>	HashingOptions.getHashedTrainer(Trainer<T> innerTrainer) Gets the trainer wrapped in a hashing trainer.

Methods in org.tribuo.hash with parameters of type Trainer

Modifier and Type	Method and Description
<T extends Output<T>> Trainer<T>	HashingOptions.getHashedTrainer(Trainer<T> innerTrainer) Gets the trainer wrapped in a hashing trainer.

Constructors in org.tribuo.hash with parameters of type Trainer

Constructor and Description
HashingTrainer(Trainer<T> trainer, Hasher hasher)

Uses of Trainer in org.tribuo.interop.tensorflow

Classes in org.tribuo.interop.tensorflow that implement Trainer

Modifier and Type	Class and Description
class	TensorFlowTrainer<T extends Output<T>> Trainer for TensorFlow.

Uses of Trainer in org.tribuo.multilabel.baseline

Classes in org.tribuo.multilabel.baseline that implement Trainer

Modifier and Type	Class and Description
class	IndependentMultiLabelTrainer Trains n independent binary Models, each of which predicts a single Label.

Constructors in org.tribuo.multilabel.baseline with parameters of type Trainer

Constructor and Description
IndependentMultiLabelTrainer(Trainer<Label> innerTrainer)

Uses of Trainer in org.tribuo.provenance

Constructors in org.tribuo.provenance with parameters of type Trainer

Constructor and Description
SkeletalTrainerProvenance(Trainer<T> host)

Uses of Trainer in org.tribuo.provenance.impl

Constructors in org.tribuo.provenance.impl with parameters of type Trainer

Constructor and Description
TrainerProvenanceImpl(Trainer<T> host) Construct a TrainerProvenance by reading all the configurable parameters along with the train call count.

Uses of Trainer in org.tribuo.regression.baseline

Classes in org.tribuo.regression.baseline that implement Trainer

Modifier and Type	Class and Description
class	DummyRegressionTrainer A trainer for simple baseline regressors.

Uses of Trainer in org.tribuo.regression.impl

Classes in org.tribuo.regression.impl that implement Trainer

Modifier and Type	Class and Description
class	SkeletalIndependentRegressionSparseTrainer<T> Base class for training n independent sparse models, one per dimension.
class	SkeletalIndependentRegressionTrainer<T> Trains n independent binary Models, each of which predicts a single Regressor.

Uses of Trainer in org.tribuo.regression.liblinear

Classes in org.tribuo.regression.liblinear that implement Trainer

Modifier and Type	Class and Description
class	LibLinearRegressionTrainer A Trainer which wraps a liblinear-java regression trainer.

Uses of Trainer in org.tribuo.regression.libsvm

Classes in org.tribuo.regression.libsvm that implement Trainer

Modifier and Type	Class and Description
class	LibSVMRegressionTrainer A trainer for regression models that uses LibSVM.

Uses of Trainer in org.tribuo.regression.rtree

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

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 Trainer in org.tribuo.regression.slm

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

Modifier and Type	Class and Description
class	ElasticNetCDTrainer An ElasticNet trainer that uses co-ordinate descent.
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 Trainer in org.tribuo.regression.xgboost

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

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

Uses of Trainer in org.tribuo.sequence

Constructors in org.tribuo.sequence with parameters of type Trainer

Constructor and Description
IndependentSequenceTrainer(Trainer<T> innerTrainer) Builds a sequence trainer which uses a Trainer to independently predict each sequence element.

Uses of Trainer in org.tribuo.transform

Classes in org.tribuo.transform that implement Trainer

Modifier and Type	Class and Description
class	TransformTrainer<T extends Output<T>> A Trainer which encapsulates another trainer plus a TransformationMap object to apply to each Dataset before training each Model.

Constructors in org.tribuo.transform with parameters of type Trainer

Constructor and Description
TransformTrainer(Trainer<T> innerTrainer, TransformationMap transformations) Creates a trainer which transforms the data before training, and stores the transformers along with the trained model in a TransformedModel.
TransformTrainer(Trainer<T> innerTrainer, TransformationMap transformations, boolean densify) Creates a trainer which transforms the data before training, and stores the transformers along with the trained model in a TransformedModel.
TransformTrainer(Trainer<T> innerTrainer, TransformationMap transformations, boolean densify, boolean includeImplicitZeroFeatures) Creates a trainer which transforms the data before training, and stores the transformers along with the trained model in a TransformedModel.