Module markov.api.schemas.model_impl

Classes

class DataSegmentInfo (ds_id: str, segment_type: str)

DataSegmentInfo(ds_id: 'str', segment_type: 'str')

Class variables

var ds_id : str

var segment_type : str

Static methods

def create_from_dict(value: dict) ‑> DataSegmentInfo

def create_from_json(value: str) ‑> DataSegmentInfo

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 ModelEvaluationRunConfig (data_seg_info: List[DataSegmentInfo], model_id: str, notes: str, run_type: str = RunType.MODEL_EVALUATION, workspace_id: str = '', user_id: str = '', team_id: str = '')

ModelEvaluationRunConfig(data_seg_info: 'List[DataSegmentInfo]', model_id: 'str', notes: 'str', run_type: 'str' = , workspace_id: 'str' = '', user_id: 'str' = '', team_id: 'str' = '')

Class variables

var data_seg_info : List[DataSegmentInfo]

var model_id : str

var notes : str

var run_type : str

var team_id : str

var user_id : str

var workspace_id : str

Static methods

def create_from_dict(value: dict) ‑> ModelEvaluationRunConfig

def create_from_json(value: str) ‑> ModelEvaluationRunConfig

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 ModelFamilyRegisterConfig (name: str, notes: str = '', workspace_id: str = '', user_id: str = '', team_id: str = '', misc: dict = <factory>)

ModelFamilyRegisterConfig(name: 'str', notes: 'str' = '', workspace_id: 'str' = '', user_id: 'str' = '', team_id: 'str' = '', misc: 'dict' = )

Class variables

var misc : dict

var name : str

var notes : str

var team_id : str

var user_id : str

var workspace_id : str

Static methods

def create_from_dict(value: dict)

def create_from_json(value: str)

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)

def get_json(self)

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 ModelRegistrationConfig (model_name: str, model_family_id: str, model_category: str, model_type: ModelType, sample_model_inputs: List, meta_info: Optional[Any] = None, workspace_id: str = '', user_id: str = '', team_id: str = '')

ModelRegistrationConfig(model_name: 'str', model_family_id: 'str', model_category: 'str', model_type: 'ModelType', sample_model_inputs: 'List', meta_info: 'Optional[Any]' = None, workspace_id: 'str' = '', user_id: 'str' = '', team_id: 'str' = '')

Class variables

var meta_info : Optional[Any]

var model_category : str

var model_family_id : str

var model_name : str

var model_type : ModelType

var sample_model_inputs : List

var team_id : str

var user_id : str

var workspace_id : str

Static methods

def create_from_dict(value: dict) ‑> ModelRegistrationConfig

def create_from_json(value: str) ‑> ModelRegistrationConfig

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 RemoteAPIModelMetaInfo (end_point: str, auth_token: str, rest_method: str, sample_api_inputs: List[Any], auth_type: str)

RemoteAPIModelMetaInfo(end_point: 'str', auth_token: 'str', rest_method: 'str', sample_api_inputs: 'List[Any]', auth_type: 'str')

Class variables

var auth_token : str

var auth_type : str

var end_point : str

var rest_method : str

var sample_api_inputs : List[Any]

Static methods

def create_from_dict(value: dict) ‑> RemoteAPIModelMetaInfo

def create_from_json(value: str) ‑> RemoteAPIModelMetaInfo

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

Returns

Serialize this object to Dict

def get_json(self) ‑> str

Returns

Serialize this object to JSON

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