Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Parameters
**data: Any
Bases
pydantic.main.BaseModel
pydantic.utils.Representation
Class variables
Config
classification_type: pydantic.types.StrictStr
compiler: Optional[List[pydantic.types.StrictStr]]
dataset_category: pydantic.types.StrictStr
max_maccs: Optional[float]
min_maccs: Optional[float]
name: Optional[pydantic.types.StrictStr]
notification_on_completion: Optional[pydantic.types.StrictBool]
precision: Optional[List[pydantic.types.StrictStr]]
space: Optional[List[edgeimpulse_api.models.tuner_space_impulse.TunerSpaceImpulse]]
target_device: edgeimpulse_api.models.optimize_config_target_device.OptimizeConfigTargetDevice
target_latency: pydantic.types.StrictInt
training_cycles: Optional[pydantic.types.StrictInt]
tuner_space_options: Optional[Dict[str, List[pydantic.types.StrictStr]]]
tuning_algorithm: Optional[pydantic.types.StrictStr]
tuning_max_trials: Optional[pydantic.types.StrictInt]
tuning_workers: Optional[pydantic.types.StrictInt]
Parameters
v
Parameters
v
Create an instance of OptimizeConfig from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.optimize_config.OptimizeConfig
Create an instance of OptimizeConfig from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.optimize_config.OptimizeConfig
Parameters
v
Returns the dictionary representation of the model using alias
Parameters
self
Returns the JSON representation of the model using alias
Parameters
self
Return
str
Returns the string representation of the model using alias
Parameters
self
Return
str