get_pretrained_model_response_all_of_model module

GetPretrainedModelResponseAllOfModel

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

• file_name: pydantic.types.StrictStr

• inputs: List[edgeimpulse_api.models.pretrained_model_tensor.PretrainedModelTensor]

• outputs: List[edgeimpulse_api.models.pretrained_model_tensor.PretrainedModelTensor]

• profile_info: edgeimpulse_api.models.get_pretrained_model_response_all_of_model_profile_info.GetPretrainedModelResponseAllOfModelProfileInfo | None

• profile_job_id: pydantic.types.StrictInt | None

• supports_tf_lite: pydantic.types.StrictBool | None

Static methods

from_dict

Create an instance of GetPretrainedModelResponseAllOfModel from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.get_pretrained_model_response_all_of_model.GetPretrainedModelResponseAllOfModel

from_json

Create an instance of GetPretrainedModelResponseAllOfModel from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.get_pretrained_model_response_all_of_model.GetPretrainedModelResponseAllOfModel

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