class edgeimpulse_api.models.model_variant_stats.ModelVariantStats(
**data: Any
)
Config
The type of the None singleton.
accuracy: edgeimpulse_api.models.evaluate_result_value.EvaluateResultValue
The type of the None singleton.
classification_labels: List[pydantic.types.StrictStr]
The type of the None singleton.
confusion_matrix: Dict[str, Dict[str, Dict[str, Any]]]
The type of the None singleton.
learn_block_id: pydantic.types.StrictInt
The type of the None singleton.
learn_block_type: edgeimpulse_api.models.learn_block_type.LearnBlockType
The type of the None singleton.
model_type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum
The type of the None singleton.
total_correct_window_count: edgeimpulse_api.models.evaluate_result_value.EvaluateResultValue | None
The type of the None singleton.
total_window_count: pydantic.types.StrictInt | None
The type of the None singleton.
training_labels: List[pydantic.types.StrictStr]
The type of the None singleton.
edgeimpulse_api.models.model_variant_stats.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.model_variant_stats.ModelVariantStats
edgeimpulse_api.models.model_variant_stats.from_json(
json_str: str
) ‑> edgeimpulse_api.models.model_variant_stats.ModelVariantStats
edgeimpulse_api.models.model_variant_stats.to_dict(
self
)
edgeimpulse_api.models.model_variant_stats.to_json(
self,
indent=None
) ‑> str
edgeimpulse_api.models.model_variant_stats.to_str(
self
) ‑> str