> ## Documentation Index
> Fetch the complete documentation index at: https://docs.edgeimpulse.com/llms.txt
> Use this file to discover all available pages before exploring further.

# edgeimpulse_api.models.optimize_config

## Classes

### OptimizeConfig

```python theme={"system"}
edgeimpulse_api.models.optimize_config.OptimizeConfig(
	**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` |
| `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` |
| `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` |
| `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_child_job_memory_mi_b` | `pydantic.v1.types.ConstrainedIntValue \| 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

```python theme={"system"}
edgeimpulse_api.models.optimize_config.OptimizeConfig.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.optimize_config.OptimizeConfig
```

Create an instance of OptimizeConfig from a dict

| Parameters | |
| - | - |
| `obj` | `dict` |

| Returns |
| - |
| `edgeimpulse_api.models.optimize_config.OptimizeConfig` |

#### from\_json

```python theme={"system"}
edgeimpulse_api.models.optimize_config.OptimizeConfig.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.optimize_config.OptimizeConfig
```

Create an instance of OptimizeConfig from a JSON string

| Parameters | |
| - | - |
| `json_str` | `str` |

| Returns |
| - |
| `edgeimpulse_api.models.optimize_config.OptimizeConfig` |

#### optimization\_precision\_validate\_enum

```python theme={"system"}
edgeimpulse_api.models.optimize_config.OptimizeConfig.optimization_precision_validate_enum(
	v
)
```

| Parameters | |
| - | - |
| `v` | ` ` |

#### tuning\_algorithm\_validate\_enum

```python theme={"system"}
edgeimpulse_api.models.optimize_config.OptimizeConfig.tuning_algorithm_validate_enum(
	v
)
```

| Parameters | |
| - | - |
| `v` | ` ` |

***

**METHODS**

#### to\_dict

```python theme={"system"}
edgeimpulse_api.models.optimize_config.OptimizeConfig.to_dict(
	self
)
```

Returns the dictionary representation of the model using alias

| Parameters | |
| - | - |
| `self` | ` ` |

#### to\_json

```python theme={"system"}
edgeimpulse_api.models.optimize_config.OptimizeConfig.to_json(
	self,
	indent=None
) ‑> str
```

Returns the JSON representation of the model using alias

| Parameters | |
| - | - |
| `self` | ` ` |
| `indent=None` | ` ` |

| Returns |
| - |
| `str` |

#### to\_str

```python theme={"system"}
edgeimpulse_api.models.optimize_config.OptimizeConfig.to_str(
	self
) ‑> str
```

Returns the string representation of the model using alias

| Parameters | |
| - | - |
| `self` | ` ` |

| Returns |
| - |
| `str` |