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
accuracy: edgeimpulse_api.models.classify_job_response_all_of_accuracy.ClassifyJobResponseAllOfAccuracy
additional_metrics_by_learn_block: List[edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock]
available_variants: List[edgeimpulse_api.models.keras_model_variant_enum.KerasModelVariantEnum]
error: pydantic.types.StrictStr | None
predictions: List[edgeimpulse_api.models.model_prediction.ModelPrediction]
result: List[edgeimpulse_api.models.model_result.ModelResult]
success: pydantic.types.StrictBool
Create an instance of ClassifyJobResponse from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.classify_job_response.ClassifyJobResponse
Create an instance of ClassifyJobResponse from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.classify_job_response.ClassifyJobResponse
Returns the dictionary representation of the model using alias
Parameters
self
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
Returns the string representation of the model using alias
Parameters
self
Return
str