keras_model_metadata

edgeimpulse_api v1.0.0

edgeimpulse_api.models.keras_model_metadata module

class edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata(*, success: StrictBool, error: Optional[StrictStr] = None, created: datetime, layers: List[KerasModelLayer], classNames: List[StrictStr], availableModelTypes: List[KerasModelTypeEnum], recommendedModelType: KerasModelTypeEnum, modelValidationMetrics: List[KerasModelMetadataMetrics], hasTrainedModel: StrictBool, mode: StrictStr, objectDetectionLastLayer: Optional[ObjectDetectionLastLayer] = None)

Bases: BaseModel

class Config()

Bases: object

allow_population_by_field_name(_ = Tru_ )

validate_assignment(_ = Tru_ )

available_model_types(: List[KerasModelTypeEnum )

class_names(: List[StrictStr )

created(: datetim )

error(: Optional[StrictStr )

classmethod from_dict(obj: dict)

Create an instance of KerasModelMetadata from a dict

classmethod from_json(json_str: str)

Create an instance of KerasModelMetadata from a JSON string

has_trained_model(: StrictBoo )

layers(: List[KerasModelLayer )

mode(: StrictSt )

classmethod mode_validate_enum(v)

model_validation_metrics(: List[KerasModelMetadataMetrics )

object_detection_last_layer(: Optional[ObjectDetectionLastLayer )

recommended_model_type(_: KerasModelTypeEnum

success(: StrictBoo )

to_dict()

Returns the dictionary representation of the model using alias

to_json()

Returns the JSON representation of the model using alias

to_str()

Returns the string representation of the model using alias