Package | Description |
---|---|
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.dtree.impl |
Provides internal implementation classes for classification decision trees.
|
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.example |
Provides a multiclass data generator used for testing implementations.
|
org.tribuo.classification.experiments |
Provides a set of main methods for interacting with classification tasks.
|
org.tribuo.classification.explanations |
Provides core infrastructure for local model based explanations.
|
org.tribuo.classification.explanations.lime |
Provides an implementation of LIME (Locally Interpretable Model Explanations).
|
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.example |
Provides a classification sequence data generator for smoke testing implementations.
|
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.common.nearest |
Provides a K-Nearest Neighbours implementation which works across
all Tribuo
Output types. |
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.multilabel |
Provides classes and infrastructure for working with multi-label classification problems.
|
org.tribuo.multilabel.baseline |
Class and Description |
---|
Classifiable
A tag interface for multi-class and multi-label classification tasks.
|
ImmutableLabelInfo
An ImmutableOutputInfo object for Labels.
|
Label
An immutable multi-class classification label.
|
LabelInfo
The base class for information about multi-class classification Labels.
|
MutableLabelInfo
A mutable
LabelInfo . |
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
ClassificationOptions
An
Options that can produce a classification Trainer based on the
provided arguments. |
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Classifiable
A tag interface for multi-class and multi-label classification tasks.
|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
ClassificationOptions
An
Options that can produce a classification Trainer based on the
provided arguments. |
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
ClassificationOptions
An
Options that can produce a classification Trainer based on the
provided arguments. |
Label
An immutable multi-class classification label.
|
WeightedLabels
Tag interface denoting the
Trainer can use label weights. |
Class and Description |
---|
ClassificationOptions
An
Options that can produce a classification Trainer based on the
provided arguments. |
Label
An immutable multi-class classification label.
|
WeightedLabels
Tag interface denoting the
Trainer can use label weights. |
Class and Description |
---|
ClassificationOptions
An
Options that can produce a classification Trainer based on the
provided arguments. |
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
ClassificationOptions
An
Options that can produce a classification Trainer based on the
provided arguments. |
Label
An immutable multi-class classification label.
|
Class and Description |
---|
ClassificationOptions
An
Options that can produce a classification Trainer based on the
provided arguments. |
Label
An immutable multi-class classification label.
|
Class and Description |
---|
ClassificationOptions
An
Options that can produce a classification Trainer based on the
provided arguments. |
Label
An immutable multi-class classification label.
|
Class and Description |
---|
ClassificationOptions
An
Options that can produce a classification Trainer based on the
provided arguments. |
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Classifiable
A tag interface for multi-class and multi-label classification tasks.
|
Label
An immutable multi-class classification label.
|
Class and Description |
---|
Label
An immutable multi-class classification label.
|
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