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
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