dsp_trained_features_response_all_of module

DspTrainedFeaturesResponseAllOf

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

• data: List[edgeimpulse_api.models.dsp_trained_features_response_all_of_data.DspTrainedFeaturesResponseAllOfData]

• skip_first_features: pydantic.types.StrictInt

• total_sample_count: pydantic.types.StrictInt

Static methods

from_dict

Create an instance of DspTrainedFeaturesResponseAllOf from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.dsp_trained_features_response_all_of.DspTrainedFeaturesResponseAllOf

from_json

Create an instance of DspTrainedFeaturesResponseAllOf from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.dsp_trained_features_response_all_of.DspTrainedFeaturesResponseAllOf

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