Uses of Interface
org.tribuo.DataSource

Packages that use DataSource

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.datasource	Simple data sources for ingesting or aggregating data.
org.tribuo.evaluation	Evaluation base classes, along with code for train/test splits and cross validation.

Uses of DataSource in org.tribuo

Subinterfaces of DataSource in org.tribuo

Modifier and Type	Interface	Description
interface	ConfigurableDataSource<T extends Output<T>>	It's a DataSource that's also Configurable.

Constructors in org.tribuo with parameters of type DataSource

Modifier	Constructor	Description
protected	Dataset(DataSource<T> dataSource)	Creates a dataset.
	ImmutableDataset(DataSource<T> dataSource, FeatureMap featureIDMap, OutputInfo<T> outputIDInfo, boolean dropInvalidExamples)	Creates a dataset from a data source.
	ImmutableDataset(DataSource<T> dataSource, Model<T> model, boolean dropInvalidExamples)	Creates a dataset from a data source.
	MutableDataset(DataSource<T> dataSource)	Creates a dataset from a data source.

Uses of DataSource in org.tribuo.datasource

Classes in org.tribuo.datasource that implement DataSource

Modifier and Type	Class	Description
class	AggregateConfigurableDataSource<T extends Output<T>>	Aggregates multiple ConfigurableDataSources, uses AggregateDataSource.IterationOrder to control the iteration order.
class	AggregateDataSource<T extends Output<T>>	Aggregates multiple DataSources, uses AggregateDataSource.IterationOrder to control the iteration order.
final class	IDXDataSource<T extends Output<T>>	A DataSource which can read IDX formatted data (i.e., MNIST).
final class	LibSVMDataSource<T extends Output<T>>	A DataSource which can read LibSVM formatted data.
class	ListDataSource<T extends Output<T>>	A data source which wraps up a list of Examples along with their DataSourceProvenance and an OutputFactory.

Constructor parameters in org.tribuo.datasource with type arguments of type DataSource

Modifier	Constructor	Description
	AggregateDataSource(List<DataSource<T>> sources)	Creates an aggregate data source which will iterate the provided sources in the order of the list (i.e., using AggregateDataSource.IterationOrder.SEQUENTIAL.
	AggregateDataSource(List<DataSource<T>> sources, AggregateDataSource.IterationOrder order)	Creates an aggregate data source using the supplied sources and iteration order.

Uses of DataSource in org.tribuo.evaluation

Methods in org.tribuo.evaluation that return DataSource

Modifier and Type	Method	Description
DataSource<T>	TrainTestSplitter.getTest()	Gets the testing datasource.
DataSource<T>	TrainTestSplitter.getTrain()	Gets the training data source.

Methods in org.tribuo.evaluation with parameters of type DataSource

Modifier and Type	Method	Description
final E	AbstractEvaluator.evaluate(Model<T> model, DataSource<T> datasource)	Produces an evaluation for the supplied model and datasource, by calling Model.predict(org.tribuo.Example<T>) to create the predictions, then aggregating the appropriate statistics.
E	Evaluator.evaluate(Model<T> model, DataSource<T> datasource)	Evaluates the dataset using the supplied model, returning an immutable Evaluation of the appropriate type.

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

Modifier	Constructor	Description
	TrainTestSplitter(DataSource<T> data)	Creates a splitter that splits a dataset 70/30 train and test using a default seed.
	TrainTestSplitter(DataSource<T> data, double trainProportion, long seed)	Creates a splitter that will split the given data set into a training and testing set.
	TrainTestSplitter(DataSource<T> data, long seed)	Creates a splitter that splits a dataset 70/30 train and test.