Package org.tribuo

package org.tribuo

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.

Class	Description
CategoricalIDInfo	Same as a CategoricalInfo, but with an additional int id field.
CategoricalInfo	Stores information about Categorical features.
ConfigurableDataSource<T extends Output<T>>	It's a DataSource that's also Configurable.
Dataset<T extends Output<T>>	A class for sets of data, which are used to train and evaluate classifiers.
DataSource<T extends Output<T>>	A interface for things that can be given to a Dataset's constructor.
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.
FeatureSelector<T extends Output<T>>	An interface for feature selection algorithms.
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.
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.
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.
MutableOutputInfo<T extends Output<T>>	A mutable OutputInfo that can record observed output values.
ONNXExportable	An interface which denotes this Model can be exported as an ONNX model.
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.
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.
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<T extends Output<T>>	A model which uses a subset of the features it knows about to make predictions.
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.
Tribuo	This class stores the current Tribuo version, along with other compile time information.
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.