performance_calibration_ground_truth module

PerformanceCalibrationGroundTruth

class edgeimpulse_api.models.performance_calibration_ground_truth.PerformanceCalibrationGroundTruth(
		**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

  • **data: Any

Bases

  • pydantic.main.BaseModel

  • pydantic.utils.Representation

Class variables

  • Config

  • label_idx: pydantic.types.StrictInt

  • label_string: pydantic.types.StrictStr

  • length: pydantic.types.StrictInt

  • samples: Optional[List[edgeimpulse_api.models.performance_calibration_ground_truth_samples_inner.PerformanceCalibrationGroundTruthSamplesInner]]

  • start: pydantic.types.StrictInt

  • type: pydantic.types.StrictStr

Static methods

from_dict

edgeimpulse_api.models.performance_calibration_ground_truth.from_dict(
		obj: dict
)> edgeimpulse_api.models.performance_calibration_ground_truth.PerformanceCalibrationGroundTruth

Create an instance of PerformanceCalibrationGroundTruth from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.performance_calibration_ground_truth.PerformanceCalibrationGroundTruth

from_json

edgeimpulse_api.models.performance_calibration_ground_truth.from_json(
		json_str: str
)> edgeimpulse_api.models.performance_calibration_ground_truth.PerformanceCalibrationGroundTruth

Create an instance of PerformanceCalibrationGroundTruth from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.performance_calibration_ground_truth.PerformanceCalibrationGroundTruth

type_validate_enum

edgeimpulse_api.models.performance_calibration_ground_truth.type_validate_enum(
		v
)

Parameters

  • v

Methods

to_dict

edgeimpulse_api.models.performance_calibration_ground_truth.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

edgeimpulse_api.models.performance_calibration_ground_truth.to_json(