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.anomaly.evaluation |
Evaluation classes for anomaly detection.
|
org.tribuo.classification |
Provides classes and infrastructure for multiclass classification problems.
|
org.tribuo.classification.evaluation |
Evaluation classes for multi-class classification.
|
org.tribuo.clustering |
Provides classes and infrastructure for working with clustering problems.
|
org.tribuo.clustering.evaluation |
Evaluation classes for clustering.
|
org.tribuo.evaluation |
Evaluation base classes, along with code for train/test splits and cross validation.
|
org.tribuo.multilabel |
Provides classes and infrastructure for working with multi-label classification problems.
|
org.tribuo.multilabel.evaluation |
Evaluation classes for multi-label classification using
MultiLabel . |
org.tribuo.regression |
Provides classes and infrastructure for regression problems with single or multiple output dimensions.
|
org.tribuo.regression.evaluation |
Evaluation classes for single or multi-dimensional regression.
|
Class and Description |
---|
Evaluation
An immutable evaluation of a specific model and dataset.
|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
AbstractEvaluator
Base class for evaluators.
|
Evaluation
An immutable evaluation of a specific model and dataset.
|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
AbstractEvaluator
Base class for evaluators.
|
Evaluation
An immutable evaluation of a specific model and dataset.
|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
AbstractEvaluator
Base class for evaluators.
|
Evaluation
An immutable evaluation of a specific model and dataset.
|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
DescriptiveStats
Descriptive statistics calculated across a list of doubles.
|
Evaluation
An immutable evaluation of a specific model and dataset.
|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
KFoldSplitter.TrainTestFold
Stores a train/test split for a dataset.
|
OnlineEvaluator
An evaluator which aggregates predictions and produces
Evaluation s
covering all the Prediction s it has seen or created. |
Class and Description |
---|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
AbstractEvaluator
Base class for evaluators.
|
Evaluation
An immutable evaluation of a specific model and dataset.
|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
Class and Description |
---|
AbstractEvaluator
Base class for evaluators.
|
Evaluation
An immutable evaluation of a specific model and dataset.
|
Evaluator
An evaluation factory which produces immutable
Evaluation s of a given Dataset using the given Model . |
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