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
Last updated