anomaly_model_metadata module

AnomalyModelMetadata

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

• available_model_types: List[edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum] | None

• axes: List[pydantic.types.StrictInt]

• clusters: List[edgeimpulse_api.models.anomaly_model_metadata_clusters_inner.AnomalyModelMetadataClustersInner]

• created: datetime.datetime

• default_minimum_confidence_rating: float | None

• has_trained_model: pydantic.types.StrictBool | None

• mean: List[float]

• model_validation_metrics: List[edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics] | None

• recommended_model_type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum | None

• scale: List[float]

Static methods

from_dict

Create an instance of AnomalyModelMetadata from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.anomaly_model_metadata.AnomalyModelMetadata

from_json

Create an instance of AnomalyModelMetadata from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.anomaly_model_metadata.AnomalyModelMetadata

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