classify_sample_response_classification module#

class edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification( *, learnBlock: ImpulseLearnBlock, result: List[Dict[str, float]], anomalyResult: List[AnomalyResult] | None = None, structuredResult: List[StructuredClassifyResult] | None = None, minimumConfidenceRating: float, details: List[ClassifySampleResponseClassificationDetails] | None = None, objectDetectionLastLayer: ObjectDetectionLastLayer | None = None, expectedLabels: List[StructuredLabel], )[source]#

Bases: BaseModel

class Config[source]#

Bases: object

allow_population_by_field_name = True#

validate_assignment = False#

anomaly_result: List[AnomalyResult] | None#

details: List[ClassifySampleResponseClassificationDetails] | None#

expected_labels: List[StructuredLabel]#

classmethod from_dict( obj: dict, ) → ClassifySampleResponseClassification[source]#: Create an instance of ClassifySampleResponseClassification from a dict

classmethod from_json( json_str: str, ) → ClassifySampleResponseClassification[source]#: Create an instance of ClassifySampleResponseClassification from a JSON string

learn_block: ImpulseLearnBlock#

minimum_confidence_rating: float#

object_detection_last_layer: ObjectDetectionLastLayer | None#

result: List[Dict[str, float]]#

structured_result: List[StructuredClassifyResult] | None#

to_dict()[source]#: Returns the dictionary representation of the model using alias

to_json() → str[source]#: Returns the JSON representation of the model using alias

to_str() → str[source]#: Returns the string representation of the model using alias