performance_calibration_ground_truth module
PerformanceCalibrationGroundTruth
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
label_idx: pydantic.types.StrictInt
label_string: pydantic.types.StrictStr
length: pydantic.types.StrictInt
samples: Optional[List[edgeimpulse_api.models.performance_calibration_ground_truth_samples_inner.PerformanceCalibrationGroundTruthSamplesInner]]
start: pydantic.types.StrictInt
type: pydantic.types.StrictStr
Static methods
from_dict
Create an instance of PerformanceCalibrationGroundTruth from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.performance_calibration_ground_truth.PerformanceCalibrationGroundTruth
from_json
Create an instance of PerformanceCalibrationGroundTruth from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.performance_calibration_ground_truth.PerformanceCalibrationGroundTruth
type_validate_enum
Parameters
v
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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