Package ai.djl.repository

Contains a Maven-based Repository format for creating repositories of artifacts such as datasets and model zoos.

See: Description

Interface Summary

Interface	Description
Repository	Repository is a format for storing data Artifacts for various uses including deep learning models and datasets.

Class Summary

Class	Description
AbstractRepository	The AbstractRepository is the shared base for implementers of the Repository interface.
Artifact	An Artifact is a set of data files such as a model or dataset.
Artifact.Item	A file (possibly compressed) within an Artifact.
Artifact.VersionComparator	A Comparator to compare artifacts based on their version numbers.
Hex	Hex is a set of utilities for working with Hexadecimal Strings.
LocalRepository	A LocalRepository is a Repository located in a filesystem directory.
Metadata	A Metadata is a collection of Artifacts with unified metadata (including MRL) that are stored in the same "metadata.json" file.
MRL	The MRL (Machine learning Resource Locator) is a pointer to a Metadata "resource" on a machine learning Repository.
RemoteRepository	A RemoteRepository is a Repository located on a remote web server.
SimpleRepository	A SimpleRepository is a Repository containing only a single artifact without requiring a "metadata.json" file.
Version	A Version is used for the versioning of an Artifact.
VersionRange	A VersionRange is a set of Restrictions that match some Versions.
ZipUtils	Utilities for working with zip files.

Package ai.djl.repository Description

Contains a Maven-based Repository format for creating repositories of artifacts such as datasets and model zoos.

There are also helper classes for Datasets (ai.djl.repository.dataset) and Model Zoos (ai.djl.repository.zoo) as well.

See Also:

Repository