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.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.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.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	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.
SelectedFeatureSet	A record-like class for a selected feature set.
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.dataset

Class	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.
SelectedFeatureSet	A record-like class for a selected feature set.

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

Class	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	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.
ONNXExportable	An interface which denotes this Model can be exported as an ONNX model.
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	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	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	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	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.
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.provenance

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

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

Class	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	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.