deeplake.api.dataset

class deeplake.api.dataset.dataset

static exists(path: Union[str, pathlib.Path], creds: Optional[dict] = None, token: Optional[str] = None) → bool

See deeplake.exists().

static 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().

static 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().

static 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().

static 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().

static 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().

static copy(src: Union[str, pathlib.Path, Dataset], dest: Union[str, pathlib.Path], tensors: Optional[List[str]] = None, overwrite: bool = False, src_creds=None, dest_creds=None, token=None, num_workers: int = 0, scheduler="threaded", progressbar=True)

See deeplake.copy().

static deepcopy(src: Union[str, pathlib.Path], dest: Union[str, pathlib.Path], tensors: Optional[List[str]] = None, overwrite: bool = False, src_creds=None, dest_creds=None, token=None, num_workers: int = 0, scheduler="threaded", progressbar=True, public: bool = False, verbose: bool = True)

See deeplake.deepcopy().

static 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().

static ingest_classification(src: Union[str, pathlib.Path], dest: Union[str, pathlib.Path], image_params: Optional[Dict] = None, label_params: Optional[Dict]: None, dest_creds: Optional[Dict] = None, progressbar: bool = True, summary: bool = True, num_workers: int = 0, shuffle: bool = False, token: Optional[str] = None, connect_kwargs: Optional[Dict] = None, **dataset_kwargs) → Dataset

See deeplake.ingest_classification().

static ingest_coco(images_directory: Union[str, pathlib.Path], annotation_files: Union[str, pathlib.Path, List[str]], dest: Union[str, pathlib.Path], key_to_tensor_mapping: Optional[Dict] = None, file_to_group_mapping: Optional[Dict] = None, ignore_one_group: bool = False, ignore_keys: Optional[List[str]] = None, image_settings: Optional[Dict] = None, src_creds: Optional[Dict] = None, dest_creds: Optional[Dict] = None, inspect_limit: int = 1000000, progressbar: bool = True, shuffle: bool = False, num_workers: int = 0, token: Optional[str] = None, connect_kwargs: Optional[Dict] = None, **dataset_kwargs) → Dataset

See deeplake.ingest_coco().

def ingest_yolo(data_directory: Union[str, pathlib.Path], dest: Union[str, pathlib.Path], class_names_file: Optional[Union[str, pathlib.Path]] = None, annotations_directory: Optional[Union[str, pathlib.Path]] = None, allow_no_annotation: bool = False, image_params: Optional[Dict] = None, label_params: Optional[Dict] = None, coordinates_params: Optional[Dict] = None, src_creds: Optional[Dict] = None, dest_creds: Optional[Dict] = None, image_creds_key: Optional[str] = None, inspect_limit: int = 1000, progressbar: bool = True, shuffle: bool = False, num_workers: int = 0, token: Optional[str] = None, connect_kwargs: Optional[Dict] = None, **dataset_kwargs) -> Dataset:

See deeplake.ingest_yolo()

static 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().

static ingest_dataframe(src, dest: Union[str, pathlib.Path], column_params: Optional[Dict] = None, src_creds: Optional[Dict] = None, dest_creds: Optional[Dict] = None, creds_key: Optional[Dict] = None, progressbar: bool = True, token: Optional[str] = None, connect_kwargs: Optional[Dict] = None, **dataset_kwargs)

See deeplake.ingest_dataframe().

static list(workspace: str = "", token: Optional[str] = None) → None

See deeplake.list().