​
Classes

​
OptimizeDSPParametersResponseAllOf

edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf(
	**data: Any
)
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
**dataAny
Bases
pydantic.v1.main.BaseModel
pydantic.v1.utils.Representation
Class variables
Config
parametersDict[str, Any]
STATIC METHODS

​
from_dict

edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf
Create an instance of OptimizeDSPParametersResponseAllOf from a dict
Parameters
objdict
Returns
edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf

​
from_json

edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf
Create an instance of OptimizeDSPParametersResponseAllOf from a JSON string
Parameters
json_strstr
Returns
edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf
METHODS

​
to_dict

edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf.to_dict(
	self
)
Returns the dictionary representation of the model using alias
Parameters
self

​
to_json

edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf.to_json(
	self,
	indent=None
) ‑> str
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Returns
str

​
to_str

edgeimpulse_api.models.optimize_dsp_parameters_response_all_of.OptimizeDSPParametersResponseAllOf.to_str(
	self
) ‑> str
Returns the string representation of the model using alias
Parameters
self
Returns
str