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: Optional[pydantic.types.StrictStr]
model: Optional[edgeimpulse_api.models.get_pretrained_model_response_all_of_model.GetPretrainedModelResponseAllOfModel]
model_info: Optional[edgeimpulse_api.models.get_pretrained_model_response_all_of_model_info.GetPretrainedModelResponseAllOfModelInfo]
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
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