class edgeimpulse_api.models.anomaly_model_metadata_response.AnomalyModelMetadataResponse(
**data: Any
)
Config
The type of the None singleton.
available_model_types: List[edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum] | None
The type of the None singleton.
axes: List[pydantic.types.StrictInt]
The type of the None singleton.
clusters: List[edgeimpulse_api.models.anomaly_model_metadata_clusters_inner.AnomalyModelMetadataClustersInner]
The type of the None singleton.
created: datetime.datetime
The type of the None singleton.
default_minimum_confidence_rating: float
The type of the None singleton.
error: pydantic.types.StrictStr | None
The type of the None singleton.
has_trained_model: pydantic.types.StrictBool | None
The type of the None singleton.
mean: List[float]
The type of the None singleton.
model_validation_metrics: List[edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics] | None
The type of the None singleton.
recommended_model_type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum | None
The type of the None singleton.
scale: List[float]
The type of the None singleton.
success: pydantic.types.StrictBool
The type of the None singleton.
thresholds: List[edgeimpulse_api.models.block_threshold.BlockThreshold]
The type of the None singleton.
edgeimpulse_api.models.anomaly_model_metadata_response.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.anomaly_model_metadata_response.AnomalyModelMetadataResponse
edgeimpulse_api.models.anomaly_model_metadata_response.from_json(
json_str: str
) ‑> edgeimpulse_api.models.anomaly_model_metadata_response.AnomalyModelMetadataResponse
edgeimpulse_api.models.anomaly_model_metadata_response.to_dict(
self
)
edgeimpulse_api.models.anomaly_model_metadata_response.to_json(
self,
indent=None
) ‑> str
edgeimpulse_api.models.anomaly_model_metadata_response.to_str(
self
) ‑> str