Uses of Interface
org.tribuo.OutputFactory

Packages that use OutputFactory
Package
Description
Provides the core interfaces and classes for using Tribuo.
Provides classes and infrastructure for anomaly detection problems.
Provides anomaly data generators used for demos and testing implementations.
Provides classes and infrastructure for multiclass classification problems.
Provides an implementation of LIME (Locally Interpretable Model Explanations).
Provides classes and infrastructure for working with clustering problems.
Provides clustering data generators used for demos and testing implementations.
Provides abstract classes for interfacing with XGBoost abstracting away all the Output dependent parts.
Provides classes for loading in data from disk, processing it into examples, and splitting datasets for things like cross-validation and train-test splits.
Provides classes for processing columnar data and generating Examples.
Provides implementations of ResponseProcessor.
Provides classes which can load columnar data (using a RowProcessor) from a CSV (or other character delimited format) file.
Provides classes which can load columnar data (using a RowProcessor) from a SQL source.
Provides interfaces for converting text inputs into Features and Examples.
Provides implementations of text data processors.
Simple data sources for ingesting or aggregating data.
Provides implementations of base classes and interfaces from org.tribuo.
This package contains the abstract implementation of an external model trained by something outside of Tribuo.
Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
This package contains a Tribuo wrapper around ONNX Runtime.
Provides feature extraction implementations which use ONNX models.
Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
Provides classes and infrastructure for working with multi-label classification problems.
Provides a multi-label data generator for testing implementations and a configurable data source suitable for demos and tests.
Provides Tribuo specific infrastructure for the Provenance system which tracks models and datasets.
Provides classes and infrastructure for regression problems with single or multiple output dimensions.
Provides some example regression data generators for testing implementations.
Provides core classes for working with sequences of Examples.