See: Description
Interface | Description |
---|---|
Repository |
Repository is a format for storing data Artifact s for various uses including deep
learning models and datasets. |
RepositoryFactory |
A interface responsible to create
Repository instances. |
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. |
FilenameUtils |
A class containing utility methods.
|
JarRepository |
A
JarRepository is a Repository contains an archive file from classpath. |
License |
A
License is a container to save the license information. |
LocalRepository |
A
LocalRepository is a Repository located in a filesystem directory. |
Metadata | |
Metadata.MatchAllMetadata |
A
Metadata class that matches all any search criteria. |
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. |
Resource |
A class represents a resource in a
Repository . |
SimpleRepository |
A
SimpleRepository is a Repository containing only a single artifact without
requiring a "metadata.json" file. |
SimpleUrlRepository |
A
SimpleUrlRepository is a Repository contains an archive file from a HTTP URL. |
Version | |
VersionRange |
There are also helper classes for Model Zoos (ai.djl.repository.zoo
).
Repository