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]
error: Optional[pydantic.types.StrictStr]
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]
success: pydantic.types.StrictBool
Create an instance of AnomalyModelMetadataResponse from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.anomaly_model_metadata_response.AnomalyModelMetadataResponse
Create an instance of AnomalyModelMetadataResponse from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.anomaly_model_metadata_response.AnomalyModelMetadataResponse
Returns the dictionary representation of the model using alias
Parameters
self
Returns the JSON representation of the model using alias
Parameters
self
Return
str
Returns the string representation of the model using alias
Parameters
self
Return
str