class edgeimpulse_api.models.inference_history_aggregate.InferenceHistoryAggregate(
**data: Any
)
Config
The type of the None singleton.
device_id: pydantic.types.StrictStr
The type of the None singleton.
device_name: pydantic.types.StrictStr
The type of the None singleton.
means: List[edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics]
The type of the None singleton.
metrics: List[edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics]
The type of the None singleton.
standard_deviations: List[edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics]
The type of the None singleton.
total_classifications: List[edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics]
The type of the None singleton.
total_inferences: float
The type of the None singleton.
edgeimpulse_api.models.inference_history_aggregate.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.inference_history_aggregate.InferenceHistoryAggregate
edgeimpulse_api.models.inference_history_aggregate.from_json(
json_str: str
) ‑> edgeimpulse_api.models.inference_history_aggregate.InferenceHistoryAggregate
edgeimpulse_api.models.inference_history_aggregate.to_dict(
self
)
edgeimpulse_api.models.inference_history_aggregate.to_json(
self,
indent=None
) ‑> str
edgeimpulse_api.models.inference_history_aggregate.to_str(
self
) ‑> str