PredictorSummary
¶
Source code in docs_src/capo_forecast/types/predictor_summary.py
creation_time
instance-attribute
¶
creation_time: NotRequired[Timestamp]
When the model training task was created.
dataset_group_arn
instance-attribute
¶
dataset_group_arn: NotRequired[Arn]
The Amazon Resource Name (ARN) of the dataset group that contains the data used to train the predictor.
is_auto_predictor
instance-attribute
¶
is_auto_predictor: NotRequired[Boolean]
Whether AutoPredictor was used to create the predictor.
last_modification_time
instance-attribute
¶
last_modification_time: NotRequired[Timestamp]
The last time the resource was modified. The timestamp depends on the status of the job:
-
CREATE_PENDING- TheCreationTime. -
CREATE_IN_PROGRESS- The current timestamp. -
CREATE_STOPPING- The current timestamp. -
CREATE_STOPPED- When the job stopped. -
ACTIVEorCREATE_FAILED- When the job finished or failed.
message
instance-attribute
¶
message: NotRequired[ErrorMessage]
If an error occurred, an informational message about the error.
reference_predictor_summary
instance-attribute
¶
reference_predictor_summary: NotRequired[ReferencePredictorSummary]
A summary of the reference predictor used if the predictor was retrained or upgraded.
status
instance-attribute
¶
status: NotRequired[Status]
The status of the predictor. States include:
-
ACTIVE -
CREATE_PENDING,CREATE_IN_PROGRESS,CREATE_FAILED -
DELETE_PENDING,DELETE_IN_PROGRESS,DELETE_FAILED -
CREATE_STOPPING,CREATE_STOPPED
The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.