dsp_run_response_with_sample_all_of module

DspRunResponseWithSampleAllOf

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

• can_profile_performance: pydantic.types.StrictBool

• features: List[float]

• graphs: List[edgeimpulse_api.models.dsp_run_graph.DspRunGraph]

• label_at_end_of_window: pydantic.types.StrictStr | None

• labels: List[pydantic.types.StrictStr] | None

• performance: edgeimpulse_api.models.dsp_performance.DspPerformance | None

• sample: edgeimpulse_api.models.raw_sample_data.RawSampleData

• state_string: pydantic.types.StrictStr | None

Static methods

from_dict

Create an instance of DspRunResponseWithSampleAllOf from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.dsp_run_response_with_sample_all_of.DspRunResponseWithSampleAllOf

from_json

Create an instance of DspRunResponseWithSampleAllOf from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.dsp_run_response_with_sample_all_of.DspRunResponseWithSampleAllOf

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