Uses of Interface
org.tribuo.ONNXExportable
Package
Description
Provides an interface to LibLinear-java for classification problems.
Provides an interface to LibSVM for classification problems.
Provides an implementation of a classification factorization machine using Stochastic Gradient Descent.
Provides an implementation of a classification linear model using Stochastic Gradient Descent.
Provides an interface for model prediction combinations,
two base classes for ensemble models, a base class for
ensemble excuses, and a Bagging implementation.
Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed
in Oracle Cloud Infrastructure Data Science.
Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
Provides an interface to liblinear for regression problems.
Provides an interface to LibSVM for regression problems.
Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
Provides an implementation of linear regression using Stochastic Gradient Descent.
Provides implementations of sparse linear regression using various forms of regularisation penalty.
-
Uses of ONNXExportable in org.tribuo.classification.liblinear
Modifier and TypeClassDescriptionclass
AModel
which wraps a LibLinear-java classification model. -
Uses of ONNXExportable in org.tribuo.classification.libsvm
Modifier and TypeClassDescriptionclass
A classification model that uses an underlying LibSVM model to make the predictions. -
Uses of ONNXExportable in org.tribuo.classification.sgd.fm
Modifier and TypeClassDescriptionclass
The inference time version of a factorization machine trained using SGD. -
Uses of ONNXExportable in org.tribuo.classification.sgd.linear
Modifier and TypeClassDescriptionclass
The inference time version of a linear model trained using SGD. -
Uses of ONNXExportable in org.tribuo.ensemble
Modifier and TypeClassDescriptionfinal class
WeightedEnsembleModel<T extends Output<T>>
An ensemble model that uses weights to combine the ensemble member predictions. -
Uses of ONNXExportable in org.tribuo.interop.oci
Modifier and TypeMethodDescriptionstatic <T extends Output<T>,
U extends Model<T> & ONNXExportable>
StringOCIUtil.createModel
(U model, com.oracle.bmc.datascience.DataScienceClient client, com.fasterxml.jackson.databind.ObjectMapper mapper, OCIUtil.OCIModelArtifactConfig config) Creates an OCI DS model and uploads the model artifact. -
Uses of ONNXExportable in org.tribuo.multilabel.sgd.fm
Modifier and TypeClassDescriptionclass
The inference time version of a multi-label factorization machine trained using SGD. -
Uses of ONNXExportable in org.tribuo.multilabel.sgd.linear
Modifier and TypeClassDescriptionclass
The inference time version of a multi-label linear model trained using SGD. -
Uses of ONNXExportable in org.tribuo.regression.liblinear
-
Uses of ONNXExportable in org.tribuo.regression.libsvm
Modifier and TypeClassDescriptionclass
A regression model that uses an underlying libSVM model to make the predictions. -
Uses of ONNXExportable in org.tribuo.regression.sgd.fm
Modifier and TypeClassDescriptionclass
The inference time model of a regression factorization machine trained using SGD. -
Uses of ONNXExportable in org.tribuo.regression.sgd.linear
Modifier and TypeClassDescriptionclass
The inference time version of a linear model trained using SGD. -
Uses of ONNXExportable in org.tribuo.regression.slm
Modifier and TypeClassDescriptionclass
The inference time version of a sparse linear regression model.