optimize_transfer_learning_models_response_all_of_models module

OptimizeTransferLearningModelsResponseAllOfModels

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

• classification: List[edgeimpulse_api.models.transfer_learning_model.TransferLearningModel]

• image: List[edgeimpulse_api.models.transfer_learning_model.TransferLearningModel]

• kws: List[edgeimpulse_api.models.transfer_learning_model.TransferLearningModel]

• object_detection: List[edgeimpulse_api.models.transfer_learning_model.TransferLearningModel]

• regression: List[edgeimpulse_api.models.transfer_learning_model.TransferLearningModel]

Static methods

from_dict

Create an instance of OptimizeTransferLearningModelsResponseAllOfModels from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.optimize_transfer_learning_models_response_all_of_models.OptimizeTransferLearningModelsResponseAllOfModels

from_json

Create an instance of OptimizeTransferLearningModelsResponseAllOfModels from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.optimize_transfer_learning_models_response_all_of_models.OptimizeTransferLearningModelsResponseAllOfModels

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