anomaly_model_metadata_all_of module#

class edgeimpulse_api.models.anomaly_model_metadata_all_of.AnomalyModelMetadataAllOf( *, created: datetime, scale: List[float], mean: List[float], clusters: List[AnomalyModelMetadataAllOfClusters], axes: List[StrictInt], defaultMinimumConfidenceRating: float | None = None, availableModelTypes: List[KerasModelTypeEnum] | None = None, recommendedModelType: KerasModelTypeEnum | None = None, modelValidationMetrics: List[KerasModelMetadataMetrics] | None = None, hasTrainedModel: StrictBool | None = None, )[source]#

Bases: BaseModel

class Config[source]#

Bases: object

allow_population_by_field_name = True#

validate_assignment = False#

available_model_types: List[KerasModelTypeEnum] | None#

axes: List[StrictInt]#

clusters: List[AnomalyModelMetadataAllOfClusters]#

created: datetime#

default_minimum_confidence_rating: float | None#

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

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

has_trained_model: StrictBool | None#

mean: List[float]#

model_validation_metrics: List[KerasModelMetadataMetrics] | None#

recommended_model_type: KerasModelTypeEnum | None#

scale: List[float]#

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