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.anomaly.liblinear |
Provides an interface to LibLinear-java for anomaly detection problems.
|
org.tribuo.anomaly.libsvm |
Provides an interface to LibSVM for anomaly detection problems.
|
org.tribuo.classification |
Provides classes and infrastructure for multiclass classification problems.
|
org.tribuo.classification.baseline |
Provides simple baseline multiclass classifiers.
|
org.tribuo.classification.dtree |
Provides implementations of decision trees for classification problems.
|
org.tribuo.classification.ensemble |
Provides majority vote ensemble combiners for classification
along with an implementation of multiclass Adaboost.
|
org.tribuo.classification.evaluation |
Evaluation classes for multi-class classification.
|
org.tribuo.classification.liblinear |
Provides an interface to LibLinear-java for classification problems.
|
org.tribuo.classification.libsvm |
Provides an interface to LibSVM for classification problems.
|
org.tribuo.classification.mnb |
Provides an implementation of multinomial naive bayes (i.e., naive bayes for non-negative count data).
|
org.tribuo.classification.sequence |
Provides infrastructure for
SequenceModel s which
emit Label s at each step of the sequence. |
org.tribuo.classification.sequence.viterbi |
Provides an implementation of Viterbi for generating structured outputs, which can sit on top of any
Label based classification model. |
org.tribuo.classification.sgd.crf |
Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
|
org.tribuo.classification.sgd.kernel |
Provides a SGD implementation of a Kernel SVM using the Pegasos algorithm.
|
org.tribuo.classification.sgd.linear |
Provides an implementation of a classification linear model using Stochastic Gradient Descent.
|
org.tribuo.classification.xgboost |
Provides an interface to XGBoost for classification problems.
|
org.tribuo.clustering |
Provides classes and infrastructure for working with clustering problems.
|
org.tribuo.clustering.evaluation |
Evaluation classes for clustering.
|
org.tribuo.clustering.kmeans |
Provides a multithreaded implementation of K-Means, with a
configurable distance function.
|
org.tribuo.common.liblinear |
Provides base classes for using liblinear from Tribuo.
|
org.tribuo.common.libsvm |
The base interface to LibSVM.
|
org.tribuo.common.nearest |
Provides a K-Nearest Neighbours implementation which works across
all Tribuo
Output types. |
org.tribuo.common.sgd |
Provides the base classes for models trained with stochastic gradient descent.
|
org.tribuo.common.tree |
Provides common functionality for building decision trees, irrespective
of the predicted
Output . |
org.tribuo.common.xgboost |
Provides abstract classes for interfacing with XGBoost abstracting away all the
Output
dependent parts. |
org.tribuo.data.csv |
Provides classes which can load columnar data (using a
RowProcessor )
from a CSV (or other character delimited format) file. |
org.tribuo.data.sql |
Provides classes which can load columnar data (using a
RowProcessor )
from a SQL source. |
org.tribuo.data.text | |
org.tribuo.data.text.impl |
Provides implementations of text data processors.
|
org.tribuo.dataset |
Provides utility datasets which subsample or otherwise
transform the wrapped dataset.
|
org.tribuo.datasource |
Simple data sources for ingesting or aggregating data.
|
org.tribuo.ensemble |
Provides an interface for model prediction combinations,
two base classes for ensemble models, a base class for
ensemble excuses, and a Bagging implementation.
|
org.tribuo.evaluation |
Evaluation base classes, along with code for train/test splits and cross validation.
|
org.tribuo.hash |
Provides the base interface and implementations of the
Model hashing
which obscures the feature names stored in a model. |
org.tribuo.interop |
This package contains the abstract implementation of an external model
trained by something outside of Tribuo.
|
org.tribuo.interop.onnx |
This package contains a Tribuo wrapper around the ONNX Runtime.
|
org.tribuo.interop.tensorflow |
Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported
Tribuo output type.
|
org.tribuo.interop.tensorflow.sequence |
Provides an interface for working with TensorFlow sequence models, using Tribuo's
SequenceModel abstraction. |
org.tribuo.json |
Provides interop with JSON formatted data, along with tools for interacting with JSON provenance objects.
|
org.tribuo.multilabel |
Provides classes and infrastructure for working with multi-label classification problems.
|
org.tribuo.multilabel.baseline | |
org.tribuo.multilabel.evaluation |
Evaluation classes for multi-label classification using
MultiLabel . |
org.tribuo.provenance |
Provides Tribuo specific infrastructure for the
Provenance system which
tracks models and datasets. |
org.tribuo.provenance.impl |
Provides internal implementations for empty provenance classes and TrainerProvenance.
|
org.tribuo.regression |
Provides classes and infrastructure for regression problems with single or multiple output dimensions.
|
org.tribuo.regression.baseline |
Provides simple baseline regression predictors.
|
org.tribuo.regression.evaluation |
Evaluation classes for single or multi-dimensional regression.
|
org.tribuo.regression.example |
Provides some example regression data generators for testing implementations.
|
org.tribuo.regression.impl | |
org.tribuo.regression.liblinear |
Provides an interface to liblinear for regression problems.
|
org.tribuo.regression.libsvm |
Provides an interface to LibSVM for regression problems.
|
org.tribuo.regression.rtree |
Provides an implementation of decision trees for regression problems.
|
org.tribuo.regression.slm |
Provides implementations of sparse linear regression using various forms of regularisation penalty.
|
org.tribuo.regression.xgboost |
Provides an interface to XGBoost for regression problems.
|
org.tribuo.sequence |
Provides core classes for working with sequences of
Example s. |
org.tribuo.transform |
Provides infrastructure for applying transformations to a
Dataset . |
Class and Description |
---|
DataProvenance
Tag interface for data sources provenances.
|
DatasetProvenance
Base class for dataset provenance.
|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
OutputFactoryProvenance
A tag provenance for an output factory.
|
Class and Description |
---|
EvaluationProvenance
Provenance for evaluations.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
OutputFactoryProvenance
A tag provenance for an output factory.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
EvaluationProvenance
Provenance for evaluations.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
EvaluationProvenance
Provenance for evaluations.
|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
OutputFactoryProvenance
A tag provenance for an output factory.
|
Class and Description |
---|
EvaluationProvenance
Provenance for evaluations.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
SkeletalTrainerProvenance
The skeleton of a TrainerProvenance that extracts the configured parameters.
|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
SkeletalTrainerProvenance
The skeleton of a TrainerProvenance that extracts the configured parameters.
|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ConfiguredDataSourceProvenance
A tag interface for configurable data source provenance.
|
DataProvenance
Tag interface for data sources provenances.
|
DataSourceProvenance
Data source provenance.
|
Class and Description |
---|
ConfiguredDataSourceProvenance
A tag interface for configurable data source provenance.
|
DataProvenance
Tag interface for data sources provenances.
|
DataSourceProvenance
Data source provenance.
|
Class and Description |
---|
ConfiguredDataSourceProvenance
A tag interface for configurable data source provenance.
|
DataProvenance
Tag interface for data sources provenances.
|
DataSourceProvenance
Data source provenance.
|
Class and Description |
---|
ConfiguredDataSourceProvenance
A tag interface for configurable data source provenance.
|
DataProvenance
Tag interface for data sources provenances.
|
DataSourceProvenance
Data source provenance.
|
Class and Description |
---|
DataProvenance
Tag interface for data sources provenances.
|
DatasetProvenance
Base class for dataset provenance.
|
Class and Description |
---|
DataProvenance
Tag interface for data sources provenances.
|
DataSourceProvenance
Data source provenance.
|
Class and Description |
---|
EnsembleModelProvenance
Model provenance for ensemble models.
|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
DataProvenance
Tag interface for data sources provenances.
|
DataSourceProvenance
Data source provenance.
|
EvaluationProvenance
Provenance for evaluations.
|
Class and Description |
---|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
DataProvenance
Tag interface for data sources provenances.
|
DatasetProvenance
Base class for dataset provenance.
|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
SkeletalTrainerProvenance
The skeleton of a TrainerProvenance that extracts the configured parameters.
|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
SkeletalTrainerProvenance
The skeleton of a TrainerProvenance that extracts the configured parameters.
|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ConfiguredDataSourceProvenance
A tag interface for configurable data source provenance.
|
DataProvenance
Tag interface for data sources provenances.
|
DataSourceProvenance
Data source provenance.
|
Class and Description |
---|
OutputFactoryProvenance
A tag provenance for an output factory.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
EvaluationProvenance
Provenance for evaluations.
|
Class and Description |
---|
DataProvenance
Tag interface for data sources provenances.
|
DatasetProvenance
Base class for dataset provenance.
|
DataSourceProvenance
Data source provenance.
|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
DataProvenance
Tag interface for data sources provenances.
|
DatasetProvenance
Base class for dataset provenance.
|
DataSourceProvenance
Data source provenance.
|
SkeletalTrainerProvenance
The skeleton of a TrainerProvenance that extracts the configured parameters.
|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
OutputFactoryProvenance
A tag provenance for an output factory.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
EvaluationProvenance
Provenance for evaluations.
|
Class and Description |
---|
ConfiguredDataSourceProvenance
A tag interface for configurable data source provenance.
|
DataProvenance
Tag interface for data sources provenances.
|
DataSourceProvenance
Data source provenance.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
DataProvenance
Tag interface for data sources provenances.
|
DatasetProvenance
Base class for dataset provenance.
|
EvaluationProvenance
Provenance for evaluations.
|
ModelProvenance
Contains provenance information for an instance of a
Model . |
SkeletalTrainerProvenance
The skeleton of a TrainerProvenance that extracts the configured parameters.
|
TrainerProvenance
A tag interface for trainer provenances.
|
Class and Description |
---|
DatasetProvenance
Base class for dataset provenance.
|
ModelProvenance
Contains provenance information for an instance of a
Model . |
TrainerProvenance
A tag interface for trainer provenances.
|
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