classify_job_response_all_of_accuracy module
ClassifyJobResponseAllOfAccuracy
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_score: float | None
all_labels: List[pydantic.types.StrictStr]
confusion_matrix_values: Dict[str, Dict[str, float]]
mse_score: float | None
summary_per_class: Dict[str, edgeimpulse_api.models.classify_job_response_all_of_accuracy_total_summary.ClassifyJobResponseAllOfAccuracyTotalSummary]
total_summary: edgeimpulse_api.models.classify_job_response_all_of_accuracy_total_summary.ClassifyJobResponseAllOfAccuracyTotalSummary
Static methods
from_dict
Create an instance of ClassifyJobResponseAllOfAccuracy from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.classify_job_response_all_of_accuracy.ClassifyJobResponseAllOfAccuracy
from_json
Create an instance of ClassifyJobResponseAllOfAccuracy from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.classify_job_response_all_of_accuracy.ClassifyJobResponseAllOfAccuracy
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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