optimize_config_response module
OptimizeConfigResponse
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
The type of the None singleton.accuracy_sem: float | None
The type of the None singleton.compiler: List[pydantic.types.StrictStr] | None
The type of the None singleton.device: Dict[str, Any] | None
The type of the None singleton.disable_constraints: pydantic.types.StrictBool | None
The type of the None singleton.disable_deduplicate: pydantic.types.StrictBool | None
The type of the None singleton.early_stopping: pydantic.types.StrictBool | None
The type of the None singleton.early_stopping_improvement_bar: float | None
The type of the None singleton.early_stopping_window_size: float | None
The type of the None singleton.enable_sem: pydantic.types.StrictBool | None
The type of the None singleton.error: pydantic.types.StrictStr | None
The type of the None singleton.import_project_metrics: pydantic.types.StrictBool | None
The type of the None singleton.import_resource_metrics: pydantic.types.StrictBool | None
The type of the None singleton.initial_trials: pydantic.types.StrictInt | None
The type of the None singleton.latency_sem: float | None
The type of the None singleton.max_maccs: float | None
The type of the None singleton.min_maccs: float | None
The type of the None singleton.momf: pydantic.types.StrictBool | None
The type of the None singleton.name: pydantic.types.StrictStr | None
The type of the None singleton.notification_on_completion: pydantic.types.StrictBool | None
The type of the None singleton.num_import_project_metrics: float | None
The type of the None singleton.num_import_resource_metrics: float | None
The type of the None singleton.optimization_objectives: List[edgeimpulse_api.models.optimize_config_optimization_objectives_inner.OptimizeConfigOptimizationObjectivesInner] | None
The type of the None singleton.optimization_precision: pydantic.types.StrictStr | None
The type of the None singleton.optimization_rounds: pydantic.types.StrictInt | None
The type of the None singleton.precision: List[pydantic.types.StrictStr] | None
The type of the None singleton.raw_objectives: pydantic.types.StrictStr | None
The type of the None singleton.search_space_source: edgeimpulse_api.models.optimize_config_search_space_source.OptimizeConfigSearchSpaceSource | None
The type of the None singleton.search_space_template: edgeimpulse_api.models.optimize_config_search_space_template.OptimizeConfigSearchSpaceTemplate | None
The type of the None singleton.space: List[edgeimpulse_api.models.tuner_space_impulse.TunerSpaceImpulse] | None
The type of the None singleton.success: pydantic.types.StrictBool
The type of the None singleton.target_device: edgeimpulse_api.models.optimize_config_target_device.OptimizeConfigTargetDevice
The type of the None singleton.target_latency: pydantic.types.StrictInt
The type of the None singleton.training_cycles: pydantic.types.StrictInt | None
The type of the None singleton.trials_per_optimization_round: pydantic.types.StrictInt | None
The type of the None singleton.tuner_space_options: Dict[str, List[pydantic.types.StrictStr]] | None
The type of the None singleton.tuning_algorithm: pydantic.types.StrictStr | None
The type of the None singleton.tuning_max_trials: pydantic.types.StrictInt | None
The type of the None singleton.tuning_workers: pydantic.types.StrictInt | None
The type of the None singleton.verbose_logging: pydantic.types.StrictBool | None
The type of the None singleton.
Static methods
from_dict
Create an instance of OptimizeConfigResponse from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse
from_json
Create an instance of OptimizeConfigResponse from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse
optimization_precision_validate_enum
Parameters
v
tuning_algorithm_validate_enum
Parameters
v
Methods
to_dict
Returns the dictionary representation of the model using alias
Parameters
self
to_json
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
to_str
Returns the string representation of the model using alias
Parameters
self
Return
str
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