performance_calibration_false_positive module

PerformanceCalibrationFalsePositive

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

• detection_time: pydantic.types.StrictInt

• ground_truth_label: pydantic.types.StrictStr | None

• ground_truth_start: float | None

• sample_ids: List[pydantic.types.StrictInt] | None

• type: pydantic.types.StrictStr

Static methods

from_dict

Create an instance of PerformanceCalibrationFalsePositive from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.performance_calibration_false_positive.PerformanceCalibrationFalsePositive

from_json

Create an instance of PerformanceCalibrationFalsePositive from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.performance_calibration_false_positive.PerformanceCalibrationFalsePositive

type_validate_enum

Parameters

• v

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