Class ImmutableSequenceDataset<T extends Output<T>>

java.lang.Object

org.tribuo.sequence.SequenceDataset<T>

org.tribuo.sequence.ImmutableSequenceDataset<T>

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.provenance.Provenancable<DatasetProvenance>, Serializable, Iterable<SequenceExample<T>>

Direct Known Subclasses:

MinimumCardinalitySequenceDataset

public class ImmutableSequenceDataset<T extends Output<T>>
extends SequenceDataset<T>
implements Serializable

This is a SequenceDataset which has an ImmutableFeatureMap to store the feature information. Whenever an example is added to this dataset it removes features that do not exist in the FeatureMap. The dataset is immutable after construction (unless the examples are modified).

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected ImmutableFeatureMap	featureIDMap	A map from feature names to IDs for the features found in this dataset.
protected ImmutableOutputInfo<T>	outputIDInfo	A map from labels to IDs for the labels found in this dataset.

Fields inherited from class org.tribuo.sequence.SequenceDataset

data, outputFactory, sourceProvenance

Constructor Summary

Constructors

Modifier	Constructor	Description
	ImmutableSequenceDataset(Iterable<SequenceExample<T>> dataSource, DataProvenance sourceProvenance, FeatureMap featureIDMap, OutputInfo<T> outputIDInfo, OutputFactory<T> outputFactory)	Creates a dataset from a data source.
	ImmutableSequenceDataset(Iterable<SequenceExample<T>> dataSource, DataProvenance sourceProvenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, OutputFactory<T> outputFactory)	Creates a dataset from a data source.
protected	ImmutableSequenceDataset(DataProvenance sourceProvenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo)	This is dangerous, and should not be used unless you've overridden everything in ImmutableSequenceDataset.
protected	ImmutableSequenceDataset(DataProvenance sourceProvenance, OutputFactory<T> outputFactory)	If you call this it's your job to setup outputIDInfo and featureIDMap.
	ImmutableSequenceDataset(SequenceDataSource<T> dataSource, FeatureMap featureIDMap, OutputInfo<T> outputIDInfo)
	ImmutableSequenceDataset(SequenceDataSource<T> dataSource, SequenceModel<T> model)

Method Summary

Modifier and Type	Method	Description
protected void	add(SequenceExample<T> ex)	Adds a SequenceExample to the dataset, which will insert feature ids, remove unknown features and sort the examples by the feature ids.
protected void	add(SequenceExample<T> ex, Merger merger)	Adds a SequenceExample to the dataset, which will insert feature ids, remove unknown features and sort the examples by the feature ids.
static <T extends Output<T>> ImmutableSequenceDataset<T>	copyDataset(SequenceDataset<T> dataset)	Creates an immutable deep copy of the supplied dataset.
static <T extends Output<T>> ImmutableSequenceDataset<T>	copyDataset(SequenceDataset<T> dataset, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo)	Creates an immutable deep copy of the supplied dataset, using a different feature and output map.
static <T extends Output<T>> ImmutableSequenceDataset<T>	copyDataset(SequenceDataset<T> dataset, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, Merger merger)	Creates an immutable deep copy of the supplied dataset.
ImmutableFeatureMap	getFeatureIDMap()	An immutable view on the feature map.
ImmutableFeatureMap	getFeatureMap()	The feature map.
ImmutableOutputInfo<T>	getOutputIDInfo()	An immutable view on the output info in this dataset.
ImmutableOutputInfo<T>	getOutputInfo()	The output info in this dataset.
Set<T>	getOutputs()	Gets the set of labels that occur in the examples in this dataset.
DatasetProvenance	getProvenance()
String	toString()

Methods inherited from class org.tribuo.sequence.SequenceDataset

getData, getExample, getFlatDataset, getOutputFactory, getSourceDescription, getSourceProvenance, iterator, size

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Field Details

outputIDInfo

protected ImmutableOutputInfo<T extends Output<T>> outputIDInfo

A map from labels to IDs for the labels found in this dataset.

featureIDMap

protected ImmutableFeatureMap featureIDMap

A map from feature names to IDs for the features found in this dataset.

Constructor Details

ImmutableSequenceDataset

protected ImmutableSequenceDataset(DataProvenance sourceProvenance,
 OutputFactory<T> outputFactory)

If you call this it's your job to setup outputIDInfo and featureIDMap.

Parameters:

sourceProvenance - A description of the dataset including preprocessing steps.

outputFactory - The output factory.

ImmutableSequenceDataset

public ImmutableSequenceDataset(SequenceDataSource<T> dataSource,
 SequenceModel<T> model)

ImmutableSequenceDataset

public ImmutableSequenceDataset(SequenceDataSource<T> dataSource,
 FeatureMap featureIDMap,
 OutputInfo<T> outputIDInfo)

ImmutableSequenceDataset

public ImmutableSequenceDataset(Iterable<SequenceExample<T>> dataSource,
 DataProvenance sourceProvenance,
 FeatureMap featureIDMap,
 OutputInfo<T> outputIDInfo,
 OutputFactory<T> outputFactory)

Creates a dataset from a data source. This method will create the output and feature ID maps that are needed for training and evaluating classifiers.

Parameters:

dataSource - The input data.

sourceProvenance - A description of the data.

featureIDMap - The feature map, used to remove unknown features.

outputIDInfo - The output map.

outputFactory - The output factory.

ImmutableSequenceDataset

public ImmutableSequenceDataset(Iterable<SequenceExample<T>> dataSource,
 DataProvenance sourceProvenance,
 ImmutableFeatureMap featureIDMap,
 ImmutableOutputInfo<T> outputIDInfo,
 OutputFactory<T> outputFactory)

Creates a dataset from a data source.

Parameters:

dataSource - The input data.

sourceProvenance - A description of the data.

featureIDMap - The feature id map, used to remove unknown features.

outputIDInfo - The output id map.

outputFactory - The output factory.

ImmutableSequenceDataset

protected ImmutableSequenceDataset(DataProvenance sourceProvenance,
 ImmutableFeatureMap featureIDMap,
 ImmutableOutputInfo<T> outputIDInfo)

This is dangerous, and should not be used unless you've overridden everything in ImmutableSequenceDataset.

Parameters:

sourceProvenance - A description of the data, including all preprocessing.

featureIDMap - The feature id map, used to remove unknown features.

outputIDInfo - The output id map.

Method Details

add

protected void add(SequenceExample<T> ex)

Adds a SequenceExample to the dataset, which will insert feature ids, remove unknown features and sort the examples by the feature ids.

Parameters:

ex - The example to add.

add

protected void add(SequenceExample<T> ex,
 Merger merger)

Adds a SequenceExample to the dataset, which will insert feature ids, remove unknown features and sort the examples by the feature ids.

Parameters:

ex - The example to add.

merger - The merger to use to remove duplicate features.

getOutputs

public Set<T> getOutputs()

Description copied from class: SequenceDataset

Gets the set of labels that occur in the examples in this dataset.

Specified by:

getOutputs in class SequenceDataset<T extends Output<T>>

Returns:

the set of labels that occur in the examples in this dataset.

getFeatureIDMap

public ImmutableFeatureMap getFeatureIDMap()

Description copied from class: SequenceDataset

An immutable view on the feature map.

Specified by:

getFeatureIDMap in class SequenceDataset<T extends Output<T>>

Returns:

The feature map.

getFeatureMap

public ImmutableFeatureMap getFeatureMap()

Description copied from class: SequenceDataset

The feature map.

Specified by:

getFeatureMap in class SequenceDataset<T extends Output<T>>

Returns:

The feature map.

getOutputIDInfo

public ImmutableOutputInfo<T> getOutputIDInfo()

Description copied from class: SequenceDataset

An immutable view on the output info in this dataset.

Specified by:

getOutputIDInfo in class SequenceDataset<T extends Output<T>>

Returns:

The output info.

getOutputInfo

public ImmutableOutputInfo<T> getOutputInfo()

Description copied from class: SequenceDataset

The output info in this dataset.

Specified by:

getOutputInfo in class SequenceDataset<T extends Output<T>>

Returns:

The output info.

toString

public String toString()

Overrides:

toString in class SequenceDataset<T extends Output<T>>

getProvenance

public DatasetProvenance getProvenance()

Specified by:

getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<T extends Output<T>>

copyDataset

public static <T extends Output<T>>
ImmutableSequenceDataset<T> copyDataset(SequenceDataset<T> dataset)

Creates an immutable deep copy of the supplied dataset.

Type Parameters:

T - The type of output.

Parameters:

dataset - The dataset to copy.

Returns:

An immutable copy of the dataset.

copyDataset

public static <T extends Output<T>>
ImmutableSequenceDataset<T> copyDataset(SequenceDataset<T> dataset,
 ImmutableFeatureMap featureIDMap,
 ImmutableOutputInfo<T> outputIDInfo)

Creates an immutable deep copy of the supplied dataset, using a different feature and output map.

Type Parameters:

T - The type of output.

Parameters:

dataset - The dataset to copy.

featureIDMap - The new feature map to use. Removes features which are not found in this map.

outputIDInfo - The new output info to use.

Returns:

An immutable copy of the dataset.

copyDataset

public static <T extends Output<T>>
ImmutableSequenceDataset<T> copyDataset(SequenceDataset<T> dataset,
 ImmutableFeatureMap featureIDMap,
 ImmutableOutputInfo<T> outputIDInfo,
 Merger merger)

Creates an immutable deep copy of the supplied dataset.

Type Parameters:

T - The type of output.

Parameters:

dataset - The dataset to copy.

featureIDMap - The new feature map to use. Removes features which are not found in this map.

outputIDInfo - The new output info to use.

merger - The merge function to use to reduce features given new ids.

Returns:

An immutable copy of the dataset.