Module markov.api.model.object_model

Classes

class EmbeddingRecorderRegResponse (embedding_id: str, return_code: str, create_date: str, message: Optional[str] = '', ds_columns: List[str] = <factory>)

Response of a ModelRecorderRegistration Request

Class variables

var create_date : str

var ds_columns : List[str]

var embedding_id : str

var message : Optional[str]

var return_code : str

Static methods

def create_from_dict(dict_v: Dict) ‑> EmbeddingRecorderRegResponse

def create_from_json(json_str: str) ‑> EmbeddingRecorderRegResponse

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 get_dict(self) ‑> Dict

def get_json(self) ‑> str

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

class EmbeddingRecordingFinishResponse (embedding_id: str, return_code: str, message: Optional[str] = '', run_id: str = '')

Response returned by MarkovML backend to ack completion of an embedding recording by MarkovML backend

Class variables

var embedding_id : str

var message : Optional[str]

var return_code : str

var run_id : str

Static methods

def create_from_dict(dict_v: Dict) ‑> EmbeddingRecordingFinishResponse

def create_from_json(json_str: str) ‑> EmbeddingRecordingFinishResponse

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 get_dict(self) ‑> Dict

def get_json(self) ‑> str

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

class EvaluationRecordingFinishResponse (count: int, recording_id: int, return_code: str, message: Optional[str] = '', run_id: str = '')

Response returned by MarkovML backend to ack completion of an evaluation recording by MarkovML backend

Class variables

var count : int

var message : Optional[str]

var recording_id : int

var return_code : str

var run_id : str

Static methods

def create_from_dict(dict_v: Dict) ‑> EvaluationRecordingFinishResponse

def create_from_json(json_str: str) ‑> EvaluationRecordingFinishResponse

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 get_dict(self) ‑> Dict

def get_json(self) ‑> str

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

class EvaluationRecordingRegistrationResponse (recording_id: str, return_code: str, create_date: str, message: Optional[str] = '')

Response of an Evaluation Recording Registration Request

Class variables

var create_date : str

var message : Optional[str]

var recording_id : str

var return_code : str

Static methods

def create_from_dict(dict_v: Dict) ‑> EvaluationRecordingRegistrationResponse

def create_from_json(json_str: str) ‑> EvaluationRecordingRegistrationResponse

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 get_dict(self) ‑> Dict

def get_json(self) ‑> str

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

class ModelRecorderRegResponse (return_code: str, create_date: str, recording_id: str = '', message: Optional[str] = '')

Response of a ModelRecorderRegistration Request

Class variables

var create_date : str

var message : Optional[str]

var recording_id : str

var return_code : str

Static methods

def create_from_dict(dict_v: Dict) ‑> ModelRecorderRegResponse

def create_from_json(json_str: str) ‑> ModelRecorderRegResponse

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 get_dict(self) ‑> Dict

def get_json(self) ‑> str

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

class ModelRecordingFinishResponse (count: int, recording_id: int, return_code: str, message: Optional[str] = '', run_id: str = '')

Response returned by MarkovML backend to ack completion of a recording by MarkovML backend

Class variables

var count : int

var message : Optional[str]

var recording_id : int

var return_code : str

var run_id : str

Static methods

def create_from_dict(dict_v: Dict) ‑> ModelRecordingFinishResponse

def create_from_json(json_str: str) ‑> ModelRecordingFinishResponse

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 get_dict(self) ‑> Dict

def get_json(self) ‑> str

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