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.main.BaseModel
pydantic.utils.Representation
Class variables
Config
available_model_types: List[edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum]
class_names: List[pydantic.types.StrictStr]
created: datetime.datetime
error: pydantic.types.StrictStr | None
has_trained_model: pydantic.types.StrictBool
image_input_scaling: edgeimpulse_api.models.image_input_scaling.ImageInputScaling
labels: List[pydantic.types.StrictStr]
layers: List[edgeimpulse_api.models.keras_model_layer.KerasModelLayer]
mode: pydantic.types.StrictStr
model_validation_metrics: List[edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics]
object_detection_last_layer: edgeimpulse_api.models.object_detection_last_layer.ObjectDetectionLastLayer | None
recommended_model_type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum
success: pydantic.types.StrictBool
Create an instance of KerasModelMetadataResponse from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.keras_model_metadata_response.KerasModelMetadataResponse
Create an instance of KerasModelMetadataResponse from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.keras_model_metadata_response.KerasModelMetadataResponse
Parameters
v
Returns the dictionary representation of the model using alias
Parameters
self
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
Returns the string representation of the model using alias
Parameters
self
Return
str