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: Optional[List[edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum]]
axes: List[pydantic.types.StrictInt]
clusters: List[edgeimpulse_api.models.anomaly_model_metadata_clusters_inner.AnomalyModelMetadataClustersInner]
created: datetime.datetime
default_minimum_confidence_rating: Optional[float]
has_trained_model: Optional[pydantic.types.StrictBool]
mean: List[float]
model_validation_metrics: Optional[List[edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics]]
recommended_model_type: Optional[edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum]
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
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