Package org.tribuo

Provides the core interfaces and classes for using Tribuo.

See: Description

Interface Summary

Interface	Description
ConfigurableDataSource<T extends Output<T>>	It's a DataSource that's also Configurable.
DataSource<T extends Output<T>>	A interface for things that can be given to a Dataset's constructor.
ImmutableOutputInfo<T extends Output<T>>	An OutputInfo that is fixed, and contains an id number for each valid output.
IncrementalTrainer<T extends Output<T>,U extends Model<T>>	An interface for incremental training of Models.
MutableOutputInfo<T extends Output<T>>	A mutable OutputInfo that can record observed output values.
Output<T extends Output<T>>	Output is the root interface for the supported prediction types.
OutputFactory<T extends Output<T>>	An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
OutputInfo<T extends Output<T>>	Tracks relevant properties of the appropriate Output subclass.
SparseTrainer<T extends Output<T>>	Denotes this trainer emits a SparseModel.
Trainer<T extends Output<T>>	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.
WeightedExamples	Tag interface denoting that a Trainer can use example weights.

Class Summary

Class	Description
CategoricalIDInfo	Same as a CategoricalInfo, but with an additional int id field.
CategoricalInfo	Stores information about Categorical features.
Dataset<T extends Output<T>>	A class for sets of data, which are used to train and evaluate classifiers.
Example<T extends Output<T>>	An example used for training and evaluation.
Excuse<T extends Output<T>>	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<T extends Output<T>>	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.
Model<T extends Output<T>>	A prediction model, which is used to predict outputs for unseen instances.
ModelExplorer	A command line interface for loading in models and inspecting their feature and output spaces.
ModelExplorer.ModelExplorerOptions	CLI options for ModelExplorer.
MutableDataset<T extends Output<T>>	A MutableDataset is a Dataset with a MutableFeatureMap which grows over time.
MutableFeatureMap	A feature map that can record new feature value observations.
Prediction<T extends Output<T>>	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<T extends Output<T>>	A model which uses a subset of the features it knows about to make predictions.
Tribuo	This class stores the current Tribuo version, along with other compile time information.

Package org.tribuo Description

Provides the core interfaces and classes for using Tribuo.

This package contains the Dataset class and it's two subclasses, the base Example which represents a datapoint, the base Feature class, interfaces for training models, working with outputs, and representing output and feature domains.