BatchPrediction
¶
Source code in docs_src/capo_machine_learning/types/batch_prediction.py
batch_prediction_data_source_id
instance-attribute
¶
batch_prediction_data_source_id: NotRequired[EntityId]
The ID of the DataSource that points to the group of observations to predict.
batch_prediction_id
instance-attribute
¶
batch_prediction_id: NotRequired[EntityId]
The ID assigned to the BatchPrediction at creation. This value should be identical to the value of the BatchPredictionID in the request.
created_at
instance-attribute
¶
created_at: NotRequired[EpochTime]
The time that the BatchPrediction was created. The time is expressed in epoch time.
created_by_iam_user
instance-attribute
¶
created_by_iam_user: NotRequired[AwsUserArn]
The AWS user account that invoked the BatchPrediction. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.
input_data_location_s3
instance-attribute
¶
input_data_location_s3: NotRequired[S3Url]
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
last_updated_at
instance-attribute
¶
last_updated_at: NotRequired[EpochTime]
The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.
message
instance-attribute
¶
message: NotRequired[Message]
A description of the most recent details about processing the batch prediction request.
ml_model_id
instance-attribute
¶
ml_model_id: NotRequired[EntityId]
The ID of the MLModel that generated predictions for the BatchPrediction request.
name
instance-attribute
¶
name: NotRequired[EntityName]
A user-supplied name or description of the BatchPrediction.
output_uri
instance-attribute
¶
output_uri: NotRequired[S3Url]
The location of an Amazon S3 bucket or directory to receive the operation results. The following substrings are not allowed in the s3 key portion of the outputURI field: ':', '//', '/./', '/../'.
status
instance-attribute
¶
status: NotRequired[EntityStatus]
The status of the BatchPrediction. This element can have one of the following values:
-
PENDING- Amazon Machine Learning (Amazon ML) submitted a request to generate predictions for a batch of observations. -
INPROGRESS- The process is underway. -
FAILED- The request to perform a batch prediction did not run to completion. It is not usable. -
COMPLETED- The batch prediction process completed successfully. -
DELETED- TheBatchPredictionis marked as deleted. It is not usable.