edgeimpulse_api.models.optimize_config_response

Classes

OptimizeConfigResponse

edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse(
	**data: Any
)

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.v1.main.BaseModel`
`pydantic.v1.utils.Representation`

Class variables
`Config`
`accuracy_sem`	`float \| None`
`compiler`	`List[pydantic.v1.types.StrictStr] \| None`
`device`	`Dict[str, Any] \| None`
`disable_constraints`	`pydantic.v1.types.StrictBool \| None`
`disable_deduplicate`	`pydantic.v1.types.StrictBool \| None`
`early_stopping`	`pydantic.v1.types.StrictBool \| None`
`early_stopping_improvement_bar`	`float \| None`
`early_stopping_window_size`	`float \| None`
`enable_sem`	`pydantic.v1.types.StrictBool \| None`
`error`	`pydantic.v1.types.StrictStr \| None`
`import_project_metrics`	`pydantic.v1.types.StrictBool \| None`
`import_resource_metrics`	`pydantic.v1.types.StrictBool \| None`
`initial_trials`	`pydantic.v1.types.StrictInt \| None`
`latency_sem`	`float \| None`
`max_maccs`	`float \| None`
`max_total_training_time`	`float \| None`
`min_maccs`	`float \| None`
`momf`	`pydantic.v1.types.StrictBool \| None`
`name`	`pydantic.v1.types.StrictStr \| None`
`notification_on_completion`	`pydantic.v1.types.StrictBool \| None`
`num_import_project_metrics`	`float \| None`
`num_import_resource_metrics`	`float \| None`
`optimization_objectives`	`List[edgeimpulse_api.models.optimize_config_optimization_objectives_inner.OptimizeConfigOptimizationObjectivesInner] \| None`
`optimization_precision`	`pydantic.v1.types.StrictStr \| None`
`optimization_rounds`	`pydantic.v1.types.StrictInt \| None`
`precision`	`List[pydantic.v1.types.StrictStr] \| None`
`raw_objectives`	`pydantic.v1.types.StrictStr \| None`
`search_space_source`	`edgeimpulse_api.models.optimize_config_search_space_source.OptimizeConfigSearchSpaceSource \| None`
`search_space_template`	`edgeimpulse_api.models.optimize_config_search_space_template.OptimizeConfigSearchSpaceTemplate \| None`
`space`	`List[edgeimpulse_api.models.tuner_space_impulse.TunerSpaceImpulse] \| None`
`success`	`pydantic.v1.types.StrictBool`
`target_device`	`edgeimpulse_api.models.optimize_config_target_device.OptimizeConfigTargetDevice`
`target_latency`	`pydantic.v1.types.StrictInt`
`training_cycles`	`pydantic.v1.types.StrictInt \| None`
`trials_per_optimization_round`	`pydantic.v1.types.StrictInt \| None`
`tuner_space_options`	`Dict[str, List[pydantic.v1.types.StrictStr]] \| None`
`tuning_algorithm`	`pydantic.v1.types.StrictStr \| None`
`tuning_max_trials`	`pydantic.v1.types.StrictInt \| None`
`tuning_workers`	`pydantic.v1.types.StrictInt \| None`
`verbose_logging`	`pydantic.v1.types.StrictBool \| None`

STATIC METHODS

from_dict

edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse

Create an instance of OptimizeConfigResponse from a dict

Parameters
`obj`	`dict`

Returns
`edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse`

from_json

edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse

Create an instance of OptimizeConfigResponse from a JSON string

Parameters
`json_str`	`str`

Returns
`edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse`

optimization_precision_validate_enum

edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse.optimization_precision_validate_enum(
	v
)

Parameters
`v`

tuning_algorithm_validate_enum

edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse.tuning_algorithm_validate_enum(
	v
)

Parameters
`v`

METHODS

to_dict

edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse.to_dict(
	self
)

Returns the dictionary representation of the model using alias

Parameters
`self`

to_json

edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse.to_json(
	self,
	indent=None
) ‑> str

Returns the JSON representation of the model using alias

Parameters
`self`
`indent=None`

Returns
`str`

to_str

edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse.to_str(
	self
) ‑> str

Returns the string representation of the model using alias

Parameters
`self`

Returns
`str`

OVERVIEW

CLIs

LIBRARIES

SPECIFICATIONS

PROTOCOLS

edgeimpulse_api.models.optimize_config_response

Classes

OptimizeConfigResponse

from_dict

from_json

optimization_precision_validate_enum

tuning_algorithm_validate_enum

to_dict

to_json

to_str

​Classes

​OptimizeConfigResponse

​from_dict

​from_json

​optimization_precision_validate_enum

​tuning_algorithm_validate_enum

​to_dict

​to_json

​to_str

Classes

OptimizeConfigResponse

from_dict

from_json

optimization_precision_validate_enum

tuning_algorithm_validate_enum

to_dict

to_json

to_str