UnpackedRemoteDisjointInductiveDataset
- class UnpackedRemoteDisjointInductiveDataset(transductive_training_url, inductive_inference_url, inductive_testing_url, inductive_validation_url, cache_root=None, force=False, eager=False, create_inverse_triples=False, load_triples_kwargs=None, download_kwargs=None, version=None)[source]
Bases:
DisjointInductivePathDataset
A dataset with all four of train, inductive_inference, inductive test, and inductive validation sets as URLs.
Initialize dataset.
- Parameters:
transductive_training_url (
str
) – The URL of the training fileinductive_inference_url (
str
) – The URL of the inductive inference graph fileinductive_testing_url (
str
) – The URL of the inductive testing fileinductive_validation_url (
str
) – The URL of the inductive validation filecache_root (
Optional
[str
]) – An optional directory to store the extracted files. Is none is given, the default PyKEEN directory is used. This is defined either by the environment variablePYKEEN_HOME
or defaults to~/.data/pykeen
.force (
bool
) – If true, redownload any cached fileseager (
bool
) – Should the data be loaded eagerly? Defaults to false.create_inverse_triples (
bool
) – Should inverse triples be created? Defaults to false.load_triples_kwargs (
Optional
[Mapping
[str
,Any
]]) – Arguments to pass through toTriplesFactory.from_path()
and ultimately through topykeen.triples.utils.load_triples()
.download_kwargs (
Optional
[Mapping
[str
,Any
]]) – Keyword arguments to pass topystow.utils.download()
version (
Optional
[str
]) – accepts a string “v1” to “v4” to select among Teru et al inductive datasets