Module markov.data_models.dataset

Classes

class FinishSDKUploadResponse (return_code: ReturnCode, uploaded_path: Optional[str] = '', cred_id: Optional[str] = '', message: Optional[str] = '')

FinishSDKUploadResponse(return_code: markov.api.mkv_constants.ReturnCode, uploaded_path: Optional[str] = '', cred_id: Optional[str] = '', message: Optional[str] = '')

Class variables

var cred_id : Optional[str]

var message : Optional[str]

var return_code : ReturnCode

var uploaded_path : Optional[str]

Static methods

def from_dict(kvs: Union[dict, list, str, int, float, bool, ForwardRef(None)], *, infer_missing=False) ‑> ~A

def from_json(s: Union[str, bytes, bytearray], *, parse_float=None, parse_int=None, parse_constant=None, infer_missing=False, **kw) ‑> ~A

def schema(*, infer_missing: bool = False, only=None, exclude=(), many: bool = False, context=None, load_only=(), dump_only=(), partial: bool = False, unknown=None) ‑> dataclasses_json.mm.SchemaF[~A]

Methods

def to_dict(self, encode_json=False) ‑> Dict[str, Union[dict, list, str, int, float, bool, ForwardRef(None)]]

def to_json(self, *, skipkeys: bool = False, ensure_ascii: bool = True, check_circular: bool = True, allow_nan: bool = True, indent: Union[int, str, ForwardRef(None)] = None, separators: Optional[Tuple[str, str]] = None, default: Optional[Callable] = None, sort_keys: bool = False, **kw) ‑> str