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
Static methods
def create_from_dict(dict_v: Dict) ‑> EmbeddingRecorderRegResponsedef create_from_json(json_str: str) ‑> EmbeddingRecorderRegResponsedef from_dict(kvs: dict | list | str | int | float | bool | None, *, infer_missing=False) ‑> ~Adef from_json(s: str | bytes | bytearray,
*,
parse_float=None,
parse_int=None,
parse_constant=None,
infer_missing=False,
**kw) ‑> ~Adef 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]
Instance variables
var create_date : strvar ds_columns : List[str]var embedding_id : strvar message : str | Nonevar return_code : str
Methods
def get_dict(self) ‑> Dictdef get_json(self) ‑> strdef to_dict(self, encode_json=False) ‑> Dict[str, dict | list | str | int | float | bool | None]def to_json(self,
*,
skipkeys: bool = False,
ensure_ascii: bool = True,
check_circular: bool = True,
allow_nan: bool = True,
indent: int | str | None = None,
separators: Tuple[str, str] | None = None,
default: Callable | None = 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
Static methods
def create_from_dict(dict_v: Dict) ‑> EmbeddingRecordingFinishResponsedef create_from_json(json_str: str) ‑> EmbeddingRecordingFinishResponsedef from_dict(kvs: dict | list | str | int | float | bool | None, *, infer_missing=False) ‑> ~Adef from_json(s: str | bytes | bytearray,
*,
parse_float=None,
parse_int=None,
parse_constant=None,
infer_missing=False,
**kw) ‑> ~Adef 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]
Instance variables
var embedding_id : strvar message : str | Nonevar return_code : strvar run_id : str
Methods
def get_dict(self) ‑> Dictdef get_json(self) ‑> strdef to_dict(self, encode_json=False) ‑> Dict[str, dict | list | str | int | float | bool | None]def to_json(self,
*,
skipkeys: bool = False,
ensure_ascii: bool = True,
check_circular: bool = True,
allow_nan: bool = True,
indent: int | str | None = None,
separators: Tuple[str, str] | None = None,
default: Callable | None = 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
Static methods
def create_from_dict(dict_v: Dict) ‑> EvaluationRecordingFinishResponsedef create_from_json(json_str: str) ‑> EvaluationRecordingFinishResponsedef from_dict(kvs: dict | list | str | int | float | bool | None, *, infer_missing=False) ‑> ~Adef from_json(s: str | bytes | bytearray,
*,
parse_float=None,
parse_int=None,
parse_constant=None,
infer_missing=False,
**kw) ‑> ~Adef 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]
Instance variables
var count : intvar message : str | Nonevar recording_id : intvar return_code : strvar run_id : str
Methods
def get_dict(self) ‑> Dictdef get_json(self) ‑> strdef to_dict(self, encode_json=False) ‑> Dict[str, dict | list | str | int | float | bool | None]def to_json(self,
*,
skipkeys: bool = False,
ensure_ascii: bool = True,
check_circular: bool = True,
allow_nan: bool = True,
indent: int | str | None = None,
separators: Tuple[str, str] | None = None,
default: Callable | None = 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
Static methods
def create_from_dict(dict_v: Dict) ‑> EvaluationRecordingRegistrationResponsedef create_from_json(json_str: str) ‑> EvaluationRecordingRegistrationResponsedef from_dict(kvs: dict | list | str | int | float | bool | None, *, infer_missing=False) ‑> ~Adef from_json(s: str | bytes | bytearray,
*,
parse_float=None,
parse_int=None,
parse_constant=None,
infer_missing=False,
**kw) ‑> ~Adef 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]
Instance variables
var create_date : strvar message : str | Nonevar recording_id : strvar return_code : str
Methods
def get_dict(self) ‑> Dictdef get_json(self) ‑> strdef to_dict(self, encode_json=False) ‑> Dict[str, dict | list | str | int | float | bool | None]def to_json(self,
*,
skipkeys: bool = False,
ensure_ascii: bool = True,
check_circular: bool = True,
allow_nan: bool = True,
indent: int | str | None = None,
separators: Tuple[str, str] | None = None,
default: Callable | None = 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
Static methods
def create_from_dict(dict_v: Dict) ‑> ModelRecorderRegResponsedef create_from_json(json_str: str) ‑> ModelRecorderRegResponsedef from_dict(kvs: dict | list | str | int | float | bool | None, *, infer_missing=False) ‑> ~Adef from_json(s: str | bytes | bytearray,
*,
parse_float=None,
parse_int=None,
parse_constant=None,
infer_missing=False,
**kw) ‑> ~Adef 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]
Instance variables
var create_date : strvar message : str | Nonevar recording_id : strvar return_code : str
Methods
def get_dict(self) ‑> Dictdef get_json(self) ‑> strdef to_dict(self, encode_json=False) ‑> Dict[str, dict | list | str | int | float | bool | None]def to_json(self,
*,
skipkeys: bool = False,
ensure_ascii: bool = True,
check_circular: bool = True,
allow_nan: bool = True,
indent: int | str | None = None,
separators: Tuple[str, str] | None = None,
default: Callable | None = 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
Static methods
def create_from_dict(dict_v: Dict) ‑> ModelRecordingFinishResponsedef create_from_json(json_str: str) ‑> ModelRecordingFinishResponsedef from_dict(kvs: dict | list | str | int | float | bool | None, *, infer_missing=False) ‑> ~Adef from_json(s: str | bytes | bytearray,
*,
parse_float=None,
parse_int=None,
parse_constant=None,
infer_missing=False,
**kw) ‑> ~Adef 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]
Instance variables
var count : intvar message : str | Nonevar recording_id : intvar return_code : strvar run_id : str
Methods
def get_dict(self) ‑> Dictdef get_json(self) ‑> strdef to_dict(self, encode_json=False) ‑> Dict[str, dict | list | str | int | float | bool | None]def to_json(self,
*,
skipkeys: bool = False,
ensure_ascii: bool = True,
check_circular: bool = True,
allow_nan: bool = True,
indent: int | str | None = None,
separators: Tuple[str, str] | None = None,
default: Callable | None = None,
sort_keys: bool = False,
**kw) ‑> str