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
Create an instance of PerformanceCalibrationParameterSet from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.performance_calibration_parameter_set.PerformanceCalibrationParameterSet
Create an instance of PerformanceCalibrationParameterSet from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.performance_calibration_parameter_set.PerformanceCalibrationParameterSet
Returns the dictionary representation of the model using alias
Parameters
self
Returns the JSON representation of the model using alias
Parameters
self
Return
str
Returns the string representation of the model using alias
Parameters
self
Return
str