> ## 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.classify_sample_response_classification

## Classes

### ClassifySampleResponseClassification

```python theme={"system"}
edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification(
	**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` | ` ` |
| `anomaly_result` | `List[edgeimpulse_api.models.anomaly_result.AnomalyResult] \| None` |
| `details` | `List[edgeimpulse_api.models.classify_sample_response_classification_details.ClassifySampleResponseClassificationDetails] \| None` |
| `expected_anomaly_outcome` | `List[edgeimpulse_api.models.structured_label.StructuredLabel] \| None` |
| `expected_labels` | `List[edgeimpulse_api.models.structured_label.StructuredLabel]` |
| `frequency_hz` | `float` |
| `interval_ms` | `float` |
| `is_multi_label` | `pydantic.v1.types.StrictBool \| None` |
| `label_map_result` | `List[Dict[str, pydantic.v1.types.StrictStr]] \| None` |
| `label_map_scores` | `List[Dict[str, Dict[str, float]]] \| None` |
| `learn_block` | `edgeimpulse_api.models.impulse_learn_block.ImpulseLearnBlock` |
| `minimum_confidence_rating` | `float` |
| `object_detection_last_layer` | `edgeimpulse_api.models.object_detection_last_layer.ObjectDetectionLastLayer \| None` |
| `result` | `List[Dict[str, float]]` |
| `result_count` | `pydantic.v1.types.StrictInt` |
| `structured_result` | `List[edgeimpulse_api.models.structured_classify_result.StructuredClassifyResult] \| None` |
| `thresholds` | `List[edgeimpulse_api.models.block_threshold.BlockThreshold]` |

***

**STATIC METHODS**

#### from\_dict

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

Create an instance of ClassifySampleResponseClassification from a dict

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

| Returns |
| - |
| `edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification` |

#### from\_json

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

Create an instance of ClassifySampleResponseClassification from a JSON string

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

| Returns |
| - |
| `edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification` |

***

**METHODS**

#### to\_dict

```python theme={"system"}
edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification.to_dict(
	self
)
```

Returns the dictionary representation of the model using alias

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

#### to\_json

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

Returns the string representation of the model using alias

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

| Returns |
| - |
| `str` |