keras_model_metadata_all_of module#

class edgeimpulse_api.models.keras_model_metadata_all_of.KerasModelMetadataAllOf( *, created: datetime, layers: List[KerasModelLayer], classNames: List[StrictStr], labels: List[StrictStr], availableModelTypes: List[KerasModelTypeEnum], recommendedModelType: KerasModelTypeEnum, modelValidationMetrics: List[KerasModelMetadataMetrics], hasTrainedModel: StrictBool, mode: StrictStr, objectDetectionLastLayer: ObjectDetectionLastLayer | None = None, imageInputScaling: ImageInputScaling, )[source]#

Bases: BaseModel

class Config[source]#

Bases: object

allow_population_by_field_name = True#

validate_assignment = False#

available_model_types: List[KerasModelTypeEnum]#

class_names: List[StrictStr]#

created: datetime#

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

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

has_trained_model: StrictBool#

image_input_scaling: ImageInputScaling#

labels: List[StrictStr]#

layers: List[KerasModelLayer]#

mode: StrictStr#

classmethod mode_validate_enum(v)[source]#

model_validation_metrics: List[KerasModelMetadataMetrics]#

object_detection_last_layer: ObjectDetectionLastLayer | None#

recommended_model_type: KerasModelTypeEnum#

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