get_pretrained_model_response module

GetPretrainedModelResponse

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]

• error: pydantic.types.StrictStr | None

• model: edgeimpulse_api.models.get_pretrained_model_response_all_of_model.GetPretrainedModelResponseAllOfModel | None

• model_info: edgeimpulse_api.models.get_pretrained_model_response_all_of_model_info.GetPretrainedModelResponseAllOfModelInfo | None

• specific_device_selected: pydantic.types.StrictBool

• success: pydantic.types.StrictBool

Static methods

from_dict

Create an instance of GetPretrainedModelResponse from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.get_pretrained_model_response.GetPretrainedModelResponse

from_json

Create an instance of GetPretrainedModelResponse from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.get_pretrained_model_response.GetPretrainedModelResponse

Methods

to_dict

Returns the dictionary representation of the model using alias

Parameters

• self

to_json

Returns the JSON representation of the model using alias

Parameters

• self

• indent=None

Return

str

to_str

Returns the string representation of the model using alias

Parameters

• self

Return

str