optimize_config_response

edgeimpulse_api v1.0.0

edgeimpulse_api.models.optimize_config_response module

class edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse(*, success: StrictBool, error: Optional[StrictStr] = None, datasetCategory: Optional[StrictStr] = None, classificationType: Optional[StrictStr] = None, targetLatency: Optional[StrictInt] = None, targetDevice: Optional[OptimizeConfigTargetDevice] = None, compiler: Optional[List[StrictStr]] = None, precision: Optional[List[StrictStr]] = None, trainingCycles: Optional[StrictInt] = None, tuningMaxTrials: Optional[StrictInt] = None, tuningWorkers: Optional[StrictInt] = None, minMACCS: Optional[float] = None, maxMACCS: Optional[float] = None, tuningAlgorithm: Optional[StrictStr] = None, notificationOnCompletion: Optional[StrictBool] = None, tunerSpaceOptions: Optional[Dict[str, Any]] = None, space: Optional[List[TunerSpaceImpulse]] = None, device: Optional[Dict[str, Any]] = None)

Bases: BaseModel

class Config()

Bases: object

allow_population_by_field_name(_ = Tru_ )

validate_assignment(_ = Tru_ )

classification_type(: Optional[StrictStr )

classmethod classification_type_validate_enum(v)

compiler(: Optional[List[StrictStr] )

dataset_category(: Optional[StrictStr )

classmethod dataset_category_validate_enum(v)

device(: Optional[Dict[str, Any] )

error(: Optional[StrictStr )

classmethod from_dict(obj: dict)

Create an instance of OptimizeConfigResponse from a dict

classmethod from_json(json_str: str)

Create an instance of OptimizeConfigResponse from a JSON string

max_maccs(: Optional[float )

min_maccs(: Optional[float )

notification_on_completion(: Optional[StrictBool )

precision(: Optional[List[StrictStr] )

space(: Optional[List[TunerSpaceImpulse] )

success(: StrictBoo )

target_device(: Optional[OptimizeConfigTargetDevice )

target_latency(: Optional[StrictInt )

to_dict()

Returns the dictionary representation of the model using alias

to_json()

Returns the JSON representation of the model using alias

to_str()

Returns the string representation of the model using alias

training_cycles(: Optional[StrictInt )

tuner_space_options(: Optional[Dict[str, Any] )

tuning_algorithm(: Optional[StrictStr )

classmethod tuning_algorithm_validate_enum(v)

tuning_max_trials(: Optional[StrictInt )

tuning_workers(: Optional[StrictInt )