Uses of Package
org.tribuo

Packages that use org.tribuo

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.evaluation	Evaluation classes for anomaly detection.
org.tribuo.anomaly.example	Provides a anomaly data generator used for testing implementations.
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.dtree.impl	Provides internal implementation classes for classification decision trees.
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.
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.explanations.lime	Provides an implementation of LIME (Locally Interpretable Model 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.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.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.evaluation	Evaluation classes for clustering.
org.tribuo.clustering.example	Provides a clustering data generator used for testing implementations.
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.data.columnar	Provides classes for processing columnar data and generating Examples.
org.tribuo.data.columnar.processors.field	Provides implementations of FieldProcessor.
org.tribuo.data.columnar.processors.response	Provides implementations of ResponseProcessor.
org.tribuo.data.csv	Provides classes which can load columnar data (using a RowProcessor) from a CSV (or other character delimited format) file.
org.tribuo.data.sql	Provides classes which can load columnar data (using a RowProcessor) from a SQL source.
org.tribuo.data.text	Provides interfaces for converting text inputs into Features and Examples.
org.tribuo.data.text.impl	Provides implementations of text data processors.
org.tribuo.dataset	Provides utility datasets which subsample or otherwise transform the wrapped dataset.
org.tribuo.datasource	Simple data sources for ingesting or aggregating data.
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.evaluation.metrics	This package contains the infrastructure classes for building evaluation metrics.
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.onnx	This package contains a Tribuo wrapper around the ONNX Runtime.
org.tribuo.interop.onnx.extractors	Provides feature extraction implementations which use ONNX models.
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.json	Provides interop with JSON formatted data, along with tools for interacting with JSON provenance objects.
org.tribuo.math.la	Provides a linear algebra system used for numerical operations in Tribuo.
org.tribuo.multilabel	Provides classes and infrastructure for working with multi-label classification problems.
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.multilabel.evaluation	Evaluation classes for multi-label classification using MultiLabel.
org.tribuo.multilabel.example	Provides a multi-label data generator for testing implementations.
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	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.evaluation	Evaluation classes for single or multi-dimensional regression.
org.tribuo.regression.example	Provides some example regression data generators for testing implementations.
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.rtree.impl	Provides internal implementation classes for the regression trees.
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.

Classes in org.tribuo used by org.tribuo

Class and Description
CategoricalIDInfo Same as a CategoricalInfo, but with an additional int id field.
CategoricalInfo Stores information about Categorical features.
Dataset A class for sets of data, which are used to train and evaluate classifiers.
DataSource A interface for things that can be given to a Dataset's constructor.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Feature A class for features.
FeatureMap A map from Strings to VariableInfo objects storing information about a feature.
ImmutableDataset This is a Dataset which has an ImmutableFeatureMap to store the feature information.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
MutableDataset A MutableDataset is a Dataset with a MutableFeatureMap which grows over time.
MutableFeatureMap A feature map that can record new feature value observations.
MutableOutputInfo A mutable OutputInfo that can record observed output values.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
OutputInfo Tracks relevant properties of the appropriate Output subclass.
Prediction A prediction made by a Model.
RealIDInfo Same as a RealInfo, but with an additional int id field.
RealInfo Stores information about real valued features.
SkeletalVariableInfo Contains information about a feature and can be stored in the feature map in a Dataset.
SparseModel A model which uses a subset of the features it knows about to make predictions.
Trainer An interface for things that can train predictive models.
VariableIDInfo Adds an id number to a VariableInfo.
VariableInfo A VariableInfo subclass contains information about a feature and its observed values.

Classes in org.tribuo used by org.tribuo.anomaly

Class and Description
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
MutableOutputInfo A mutable OutputInfo that can record observed output values.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
OutputInfo Tracks relevant properties of the appropriate Output subclass.

Classes in org.tribuo used by org.tribuo.anomaly.evaluation

Class and Description
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.anomaly.example

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.

Classes in org.tribuo used by org.tribuo.anomaly.liblinear

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.anomaly.libsvm

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

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

Class and Description
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
MutableOutputInfo A mutable OutputInfo that can record observed output values.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
OutputInfo Tracks relevant properties of the appropriate Output subclass.
Trainer An interface for things that can train predictive models.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
SparseTrainer Denotes this trainer emits a SparseModel.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

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

Class and Description
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Model A prediction model, which is used to predict outputs for unseen instances.
Trainer An interface for things that can train predictive models.

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

Class and Description
Example An example used for training and evaluation.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.classification.explanations.lime

Class and Description
Example An example used for training and evaluation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
Model A prediction model, which is used to predict outputs for unseen instances.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
Prediction A prediction made by a Model.
SparseModel A model which uses a subset of the features it knows about to make predictions.
SparseTrainer Denotes this trainer emits a SparseModel.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

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

Class and Description
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.classification.sequence.viterbi

Class and Description
Feature A class for features.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

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

Class and Description
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Output Output is the root interface for the supported prediction types.
Prediction A prediction made by a Model.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

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

Class and Description
Example An example used for training and evaluation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

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

Class and Description
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
MutableOutputInfo A mutable OutputInfo that can record observed output values.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
OutputInfo Tracks relevant properties of the appropriate Output subclass.

Classes in org.tribuo used by org.tribuo.clustering.evaluation

Class and Description
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.clustering.example

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Feature A class for features.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.common.liblinear

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.common.libsvm

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.common.nearest

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.common.sgd

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

Classes in org.tribuo used by org.tribuo.common.tree

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Prediction A prediction made by a Model.
SparseModel A model which uses a subset of the features it knows about to make predictions.
SparseTrainer Denotes this trainer emits a SparseModel.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

Classes in org.tribuo used by org.tribuo.common.xgboost

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

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

Class and Description
ConfigurableDataSource It's a DataSource that's also Configurable.
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
Trainer An interface for things that can train predictive models.

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

Class and Description
ConfigurableDataSource It's a DataSource that's also Configurable.
DataSource A interface for things that can be given to a Dataset's constructor.
Example An example used for training and evaluation.
Feature A class for features.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

Classes in org.tribuo used by org.tribuo.data.columnar.processors.field

Class and Description
Feature A class for features.

Classes in org.tribuo used by org.tribuo.data.columnar.processors.response

Class and Description
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

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

Class and Description
ConfigurableDataSource It's a DataSource that's also Configurable.
Dataset A class for sets of data, which are used to train and evaluate classifiers.
DataSource A interface for things that can be given to a Dataset's constructor.
MutableDataset A MutableDataset is a Dataset with a MutableFeatureMap which grows over time.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

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

Class and Description
ConfigurableDataSource It's a DataSource that's also Configurable.
DataSource A interface for things that can be given to a Dataset's constructor.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

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

Class and Description
ConfigurableDataSource It's a DataSource that's also Configurable.
DataSource A interface for things that can be given to a Dataset's constructor.
Example An example used for training and evaluation.
Feature A class for features.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

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

Class and Description
ConfigurableDataSource It's a DataSource that's also Configurable.
DataSource A interface for things that can be given to a Dataset's constructor.
Example An example used for training and evaluation.
Feature A class for features.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

Classes in org.tribuo used by org.tribuo.dataset

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
ImmutableDataset This is a Dataset which has an ImmutableFeatureMap to store the feature information.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Output Output is the root interface for the supported prediction types.

Classes in org.tribuo used by org.tribuo.datasource

Class and Description
ConfigurableDataSource It's a DataSource that's also Configurable.
Dataset A class for sets of data, which are used to train and evaluate classifiers.
DataSource A interface for things that can be given to a Dataset's constructor.
Example An example used for training and evaluation.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

Classes in org.tribuo used by org.tribuo.ensemble

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.evaluation

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
DataSource A interface for things that can be given to a Dataset's constructor.
Example An example used for training and evaluation.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.evaluation.metrics

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.hash

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
FeatureMap A map from Strings to VariableInfo objects storing information about a feature.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
Trainer An interface for things that can train predictive models.
VariableIDInfo Adds an id number to a VariableInfo.

Classes in org.tribuo used by org.tribuo.impl

Class and Description
Example An example used for training and evaluation.
Feature A class for features.
FeatureMap A map from Strings to VariableInfo objects storing information about a feature.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Output Output is the root interface for the supported prediction types.

Classes in org.tribuo used by org.tribuo.interop

Class and Description
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.interop.onnx

Class and Description
Example An example used for training and evaluation.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.interop.onnx.extractors

Class and Description
Example An example used for training and evaluation.
Feature A class for features.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

Classes in org.tribuo used by org.tribuo.interop.tensorflow

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.interop.tensorflow.sequence

Class and Description
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Output Output is the root interface for the supported prediction types.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.json

Class and Description
ConfigurableDataSource It's a DataSource that's also Configurable.
DataSource A interface for things that can be given to a Dataset's constructor.
Output Output is the root interface for the supported prediction types.

Classes in org.tribuo used by org.tribuo.math.la

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
Output Output is the root interface for the supported prediction types.

Classes in org.tribuo used by org.tribuo.multilabel

Class and Description
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
MutableOutputInfo A mutable OutputInfo that can record observed output values.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
OutputInfo Tracks relevant properties of the appropriate Output subclass.

Classes in org.tribuo used by org.tribuo.multilabel.baseline

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.multilabel.evaluation

Class and Description
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.multilabel.example

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.

Classes in org.tribuo used by org.tribuo.provenance

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.provenance.impl

Class and Description
Trainer An interface for things that can train predictive models.

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

Class and Description
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
MutableOutputInfo A mutable OutputInfo that can record observed output values.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
OutputInfo Tracks relevant properties of the appropriate Output subclass.

Classes in org.tribuo used by org.tribuo.regression.baseline

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.regression.ensemble

Class and Description
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.regression.evaluation

Class and Description
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.

Classes in org.tribuo used by org.tribuo.regression.example

Class and Description
ConfigurableDataSource It's a DataSource that's also Configurable.
Dataset A class for sets of data, which are used to train and evaluate classifiers.
DataSource A interface for things that can be given to a Dataset's constructor.
Example An example used for training and evaluation.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

Classes in org.tribuo used by org.tribuo.regression.impl

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
SparseModel A model which uses a subset of the features it knows about to make predictions.
SparseTrainer Denotes this trainer emits a SparseModel.
Trainer An interface for things that can train predictive models.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Model A prediction model, which is used to predict outputs for unseen instances.
Prediction A prediction made by a Model.
SparseModel A model which uses a subset of the features it knows about to make predictions.
SparseTrainer Denotes this trainer emits a SparseModel.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
Model A prediction model, which is used to predict outputs for unseen instances.
SparseModel A model which uses a subset of the features it knows about to make predictions.
SparseTrainer Denotes this trainer emits a SparseModel.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

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

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.
WeightedExamples Tag interface denoting that a Trainer can use example weights.

Classes in org.tribuo used by org.tribuo.sequence

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Feature A class for features.
FeatureMap A map from Strings to VariableInfo objects storing information about a feature.
ImmutableFeatureMap ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
ImmutableOutputInfo An OutputInfo that is fixed, and contains an id number for each valid output.
MutableFeatureMap A feature map that can record new feature value observations.
MutableOutputInfo A mutable OutputInfo that can record observed output values.
Output Output is the root interface for the supported prediction types.
OutputFactory An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
OutputInfo Tracks relevant properties of the appropriate Output subclass.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.

Classes in org.tribuo used by org.tribuo.transform

Class and Description
Dataset A class for sets of data, which are used to train and evaluate classifiers.
Example An example used for training and evaluation.
Excuse Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.
FeatureMap A map from Strings to VariableInfo objects storing information about a feature.
Model A prediction model, which is used to predict outputs for unseen instances.
MutableDataset A MutableDataset is a Dataset with a MutableFeatureMap which grows over time.
Output Output is the root interface for the supported prediction types.
Prediction A prediction made by a Model.
Trainer An interface for things that can train predictive models.