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
false_negative_rate: float
false_negative_times: List[float]
false_negatives: pydantic.types.StrictInt
false_positive_details: Optional[List[edgeimpulse_api.models.performance_calibration_false_positive.PerformanceCalibrationFalsePositive]]
false_positive_rate: float
false_positives: pydantic.types.StrictInt
label: pydantic.types.StrictStr
true_negatives: pydantic.types.StrictInt
true_positives: pydantic.types.StrictInt
Create an instance of PerformanceCalibrationParameterSetStatsInner from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.performance_calibration_parameter_set_stats_inner.PerformanceCalibrationParameterSetStatsInner
Create an instance of PerformanceCalibrationParameterSetStatsInner from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.performance_calibration_parameter_set_stats_inner.PerformanceCalibrationParameterSetStatsInner
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