> ## 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.keras_model_metadata_metrics

## Classes

### KerasModelMetadataMetrics

```python theme={"system"}
edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics(
	**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` | `float \| None` |
| `additional_metrics` | `List[edgeimpulse_api.models.additional_metric.AdditionalMetric]` |
| `confusion_matrix` | `List[List[float]]` |
| `is_supported_on_mcu` | `pydantic.v1.types.StrictBool` |
| `loss` | `float` |
| `mcu_support_error` | `pydantic.v1.types.StrictStr \| None` |
| `on_device_performance` | `List[edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner]` |
| `predictions` | `List[edgeimpulse_api.models.model_prediction.ModelPrediction] \| None` |
| `profiling_job_failed` | `pydantic.v1.types.StrictBool \| None` |
| `profiling_job_id` | `pydantic.v1.types.StrictInt \| None` |
| `report` | `Dict[str, Any]` |
| `type` | `edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum` |
| `visualization` | `pydantic.v1.types.StrictStr` |

***

**STATIC METHODS**

#### from\_dict

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

Create an instance of KerasModelMetadataMetrics from a dict

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

| Returns |
| - |
| `edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics` |

#### from\_json

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

Create an instance of KerasModelMetadataMetrics from a JSON string

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

| Returns |
| - |
| `edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics` |

#### visualization\_validate\_enum

```python theme={"system"}
edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.visualization_validate_enum(
	v
)
```

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

***

**METHODS**

#### to\_dict

```python theme={"system"}
edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.to_dict(
	self
)
```

Returns the dictionary representation of the model using alias

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

#### to\_json

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

Returns the string representation of the model using alias

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

| Returns |
| - |
| `str` |