class edgeimpulse_api.models.performance_calibration_parameter_set.PerformanceCalibrationParameterSet(
**data: Any
)
Config
The type of the None singleton.
aggregate_stats: edgeimpulse_api.models.performance_calibration_parameter_set_aggregate_stats.PerformanceCalibrationParameterSetAggregateStats
The type of the None singleton.
detections: List[edgeimpulse_api.models.performance_calibration_detection.PerformanceCalibrationDetection]
The type of the None singleton.
is_best: pydantic.types.StrictBool
The type of the None singleton.
labels: List[pydantic.types.StrictStr]
The type of the None singleton.
params: edgeimpulse_api.models.performance_calibration_parameters.PerformanceCalibrationParameters
The type of the None singleton.
stats: List[edgeimpulse_api.models.performance_calibration_parameter_set_stats_inner.PerformanceCalibrationParameterSetStatsInner]
The type of the None singleton.
window_size_ms: float
The type of the None singleton.
edgeimpulse_api.models.performance_calibration_parameter_set.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.performance_calibration_parameter_set.PerformanceCalibrationParameterSet
edgeimpulse_api.models.performance_calibration_parameter_set.from_json(
json_str: str
) ‑> edgeimpulse_api.models.performance_calibration_parameter_set.PerformanceCalibrationParameterSet
edgeimpulse_api.models.performance_calibration_parameter_set.to_dict(
self
)
edgeimpulse_api.models.performance_calibration_parameter_set.to_json(
self,
indent=None
) ‑> str
edgeimpulse_api.models.performance_calibration_parameter_set.to_str(
self
) ‑> str