deeplake.api.dataset
exists(path: Union[str, pathlib.Path], creds: Optional[dict] = None, token: Optional[str] = None) -> bool
See deeplake.exists.
empty(path: Union[str, pathlib.Path], overwrite: bool = False, public: bool = False, memory_cache_size: int = DEFAULT_MEMORY_CACHE_SIZE, local_cache_size: int = DEFAULT_LOCAL_CACHE_SIZE, creds: Optional[dict] = None, token: Optional[str] = None) -> Dataset
See deeplake.empty.
load(path: Union[str, pathlib.Path], read_only: Optional[bool] = None, memory_cache_size: int = DEFAULT_MEMORY_CACHE_SIZE, local_cache_size: int = DEFAULT_LOCAL_CACHE_SIZE, creds: Optional[dict] = None, token: Optional[str] = None, verbose: bool = True, access_method: str = "stream") -> Dataset
See deeplake.load.
rename(old_path: Union[str, pathlib.Path], new_path: Union[str, pathlib.Path], creds: Optional[dict] = None, token: Optional[str] = None) -> Dataset
See deeplake.rename.
delete(path: Union[str, pathlib.Path], force: bool = False, large_ok: bool = False, creds: Optional[dict] = None, token: Optional[str] = None, verbose: bool = False) -> None
See deeplake.delete.
like(dest: Union[str, pathlib.Path], src: Union[str, Dataset, pathlib.Path], tensors: Optional[List[str]] = None, overwrite: bool = False, creds: Optional[dict] = None, token: Optional[str] = None, public: bool = False) -> Dataset
See deeplake.like.
copy(src: Union[str, pathlib.Path, Dataset], dest: Union[str, pathlib.Path], tensors: Optional[List[str]] = None, overwrite: bool = False, src_creds=None, src_token=None, dest_creds=None, dest_token=None, num_workers: int = 0, scheduler="threaded", progressbar=True)
See deeplake.copy.
deepcopy(src: Union[str, pathlib.Path], dest: Union[str, pathlib.Path], tensors: Optional[List[str]] = None, overwrite: bool = False, src_creds=None, src_token=None, dest_creds=None, dest_token=None, num_workers: int = 0, scheduler="threaded", progressbar=True, public: bool = False, verbose: bool = True)
See deeplake.deepcopy.
connect(src_path: str, creds_key: str, dest_path: Optional[str], org_id: Optional[str], ds_name: Optional[str], token: Optional[str])
See deeplake.connect.
ingest(src: Union[str, pathlib.Path], dest: Union[str, pathlib.Path], images_compression: str = "auto", dest_creds: dict = None, progressbar: bool = True, summary: bool = True, **dataset_kwargs) -> Dataset
See deeplake.ingest.
ingest_kaggle(tag: str, src: Union[str, pathlib.Path], dest: Union[str, pathlib.Path], exist_ok: bool = False, images_compression: str = "auto", dest_creds: dict = None, kaggle_credentials: dict = None, progressbar: bool = True, summary: bool = True, **dataset_kwargs) -> Dataset
See deeplake.ingest_kaggle.
ingest_dataframe(src, dest: Union[str, pathlib.Path], dest_creds: Optional[Dict] = None, progressbar: bool = True,**dataset_kwargs)
See deeplake.ingest_dataframe.
list(workspace: str = "", token: Optional[str] = None,) -> None
See deeplake.list.