Package | Description |
---|---|
org.tribuo |
Provides the core interfaces and classes for using Tribuo.
|
org.tribuo.anomaly |
Provides classes and infrastructure for anomaly detection problems.
|
org.tribuo.classification |
Provides classes and infrastructure for multiclass classification problems.
|
org.tribuo.clustering |
Provides classes and infrastructure for working with clustering problems.
|
org.tribuo.multilabel |
Provides classes and infrastructure for working with multi-label classification problems.
|
org.tribuo.regression |
Provides classes and infrastructure for regression problems with single or multiple output dimensions.
|
org.tribuo.sequence |
Provides core classes for working with sequences of
Example s. |
Modifier and Type | Interface and Description |
---|---|
interface |
ImmutableOutputInfo<T extends Output<T>>
An
OutputInfo that is fixed, and contains an id number for each valid output. |
interface |
MutableOutputInfo<T extends Output<T>>
A mutable OutputInfo that can record observed output values.
|
Modifier and Type | Method and Description |
---|---|
OutputInfo<T> |
OutputInfo.copy()
Generates a copy of this OutputInfo, including it's mutability.
|
OutputInfo<T> |
MutableDataset.getOutputInfo() |
abstract OutputInfo<T> |
Dataset.getOutputInfo()
Returns this dataset's
OutputInfo . |
Constructor and Description |
---|
ImmutableDataset(DataSource<T> dataSource,
FeatureMap featureIDMap,
OutputInfo<T> outputIDInfo,
boolean dropInvalidExamples)
Creates a dataset from a data source.
|
ImmutableDataset(Iterable<Example<T>> dataSource,
DataProvenance description,
OutputFactory<T> outputFactory,
FeatureMap featureIDMap,
OutputInfo<T> outputIDInfo,
boolean dropInvalidExamples)
Creates a dataset from a data source.
|
Modifier and Type | Class and Description |
---|---|
class |
AnomalyInfo
The base class for tracking anomalous events.
|
class |
ImmutableAnomalyInfo
An
ImmutableOutputInfo object for Event s. |
class |
MutableAnomalyInfo
An
MutableOutputInfo object for Event s. |
Modifier and Type | Class and Description |
---|---|
class |
ImmutableLabelInfo
An ImmutableOutputInfo object for Labels.
|
class |
LabelInfo
The base class for information about multi-class classification Labels.
|
class |
MutableLabelInfo
A mutable
LabelInfo . |
Modifier and Type | Class and Description |
---|---|
class |
ClusteringInfo
The base class for a ClusterID OutputInfo.
|
class |
ImmutableClusteringInfo
An
ImmutableOutputInfo object for ClusterIDs. |
class |
MutableClusteringInfo
A mutable
ClusteringInfo . |
Modifier and Type | Class and Description |
---|---|
class |
ImmutableMultiLabelInfo
An ImmutableOutputInfo for working with multi-label tasks.
|
class |
MultiLabelInfo
The base class for information about
MultiLabel outputs. |
class |
MutableMultiLabelInfo
A MutableOutputInfo for working with multi-label tasks.
|
Modifier and Type | Class and Description |
---|---|
class |
ImmutableRegressionInfo
A
ImmutableOutputInfo for Regressor s. |
class |
MutableRegressionInfo
A
MutableOutputInfo for Regressor s. |
class |
RegressionInfo
The base class for regression information using
Regressor s. |
Modifier and Type | Method and Description |
---|---|
static String[] |
Regressor.extractNames(OutputInfo<Regressor> info)
Extracts the names from the supplied Regressor domain in their canonical order.
|
Modifier and Type | Method and Description |
---|---|
abstract OutputInfo<T> |
SequenceDataset.getOutputInfo()
The output info in this dataset.
|
OutputInfo<T> |
MutableSequenceDataset.getOutputInfo() |
Constructor and Description |
---|
ImmutableSequenceDataset(Iterable<SequenceExample<T>> dataSource,
DataProvenance sourceProvenance,
FeatureMap featureIDMap,
OutputInfo<T> outputIDInfo,
OutputFactory<T> outputFactory)
Creates a dataset from a data source.
|
ImmutableSequenceDataset(SequenceDataSource<T> dataSource,
FeatureMap featureIDMap,
OutputInfo<T> outputIDInfo) |
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