performance_calibration_parameter_set module

PerformanceCalibrationParameterSet

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

• aggregate_stats: edgeimpulse_api.models.performance_calibration_parameter_set_aggregate_stats.PerformanceCalibrationParameterSetAggregateStats

• detections: List[edgeimpulse_api.models.performance_calibration_detection.PerformanceCalibrationDetection]

• is_best: pydantic.types.StrictBool

• labels: List[pydantic.types.StrictStr]

• params: edgeimpulse_api.models.performance_calibration_parameters.PerformanceCalibrationParameters

• stats: List[edgeimpulse_api.models.performance_calibration_parameter_set_stats_inner.PerformanceCalibrationParameterSetStatsInner]

• window_size_ms: float

Static methods

from_dict

Create an instance of PerformanceCalibrationParameterSet from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.performance_calibration_parameter_set.PerformanceCalibrationParameterSet

from_json

Create an instance of PerformanceCalibrationParameterSet from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.performance_calibration_parameter_set.PerformanceCalibrationParameterSet

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