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dataset

superduper.components.dataset

Source code

Dataset​

Dataset(self,
identifier: str,
upstream: Optional[List[ForwardRef('Component')]] = None,
db: dataclasses.InitVar[typing.Optional[ForwardRef('Datalayer')]] = None,
*,
select: 't.Optional[Query]' = None,
sample_size: 't.Optional[int]' = None,
random_seed: 't.Optional[int]' = None,
creation_date: 't.Optional[str]' = None,
raw_data: 't.Optional[t.Sequence[t.Any]]' = None,
schema: 't.Optional[Schema]' = None,
pin: 'bool' = False) -> None
ParameterDescription
identifierIdentifier of the instance.
upstreamA list of upstream components.
dbDatalayer instance. Datalayer instance.
selectA query to select the documents for the dataset.
sample_sizeThe number of documents to sample from the query.
random_seedThe random seed to use for sampling.
creation_dateThe date the dataset was created.
raw_dataThe raw data for the dataset.
schemaOptional schema for decoding the data.
pinWhether to pin the dataset. If True, the dataset will load the datas from the database every time. If False, the dataset will cache the datas after we apply to db.

A dataset is an immutable collection of documents.

Data​

Data(self,
identifier: str,
upstream: Optional[List[ForwardRef('Component')]] = None,
db: dataclasses.InitVar[typing.Optional[ForwardRef('Datalayer')]] = None,
*,
raw_data: 't.Any') -> None
ParameterDescription
identifierIdentifier of the instance.
upstreamA list of upstream components.
dbDatalayer instance. Datalayer instance.
raw_dataThe raw data.

Class to store data.

RemoteData​

RemoteData(self,
identifier: str,
upstream: Optional[List[ForwardRef('Component')]] = None,
db: dataclasses.InitVar[typing.Optional[ForwardRef('Datalayer')]] = None,
*,
getter: 't.Callable') -> None
ParameterDescription
identifierIdentifier of the instance.
upstreamA list of upstream components.
dbDatalayer instance. Datalayer instance.
getterFunction to fetch data.

Class to fetch dataset from remote.