performance_calibration_parameter_set_stats_inner module
PerformanceCalibrationParameterSetStatsInner
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: List[edgeimpulse_api.models.performance_calibration_false_positive.PerformanceCalibrationFalsePositive] | None
false_positive_rate: float
false_positives: pydantic.types.StrictInt
label: pydantic.types.StrictStr
true_negatives: pydantic.types.StrictInt
true_positives: pydantic.types.StrictInt
Static methods
from_dict
Create an instance of PerformanceCalibrationParameterSetStatsInner from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.performance_calibration_parameter_set_stats_inner.PerformanceCalibrationParameterSetStatsInner
from_json
Create an instance of PerformanceCalibrationParameterSetStatsInner from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.performance_calibration_parameter_set_stats_inner.PerformanceCalibrationParameterSetStatsInner
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
Last updated