Struct rusoto_machinelearning::GetBatchPredictionOutput
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pub struct GetBatchPredictionOutput { pub batch_prediction_data_source_id: Option<String>, pub batch_prediction_id: Option<String>, pub compute_time: Option<i64>, pub created_at: Option<f64>, pub created_by_iam_user: Option<String>, pub finished_at: Option<f64>, pub input_data_location_s3: Option<String>, pub invalid_record_count: Option<i64>, pub last_updated_at: Option<f64>, pub log_uri: Option<String>, pub ml_model_id: Option<String>, pub message: Option<String>, pub name: Option<String>, pub output_uri: Option<String>, pub started_at: Option<f64>, pub status: Option<String>, pub total_record_count: Option<i64>, }
Represents the output of a GetBatchPrediction
operation and describes a BatchPrediction
.
Fields
batch_prediction_data_source_id: Option<String>
The ID of the DataSource
that was used to create the BatchPrediction
.
batch_prediction_id: Option<String>
An ID assigned to the BatchPrediction
at creation. This value should be identical to the value of the BatchPredictionID
in the request.
compute_time: Option<i64>
The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the BatchPrediction
, normalized and scaled on computation resources. ComputeTime
is only available if the BatchPrediction
is in the COMPLETED
state.
created_at: Option<f64>
The time when the BatchPrediction
was created. The time is expressed in epoch time.
created_by_iam_user: Option<String>
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.
finished_at: Option<f64>
The epoch time when Amazon Machine Learning marked the BatchPrediction
as COMPLETED
or FAILED
. FinishedAt
is only available when the BatchPrediction
is in the COMPLETED
or FAILED
state.
input_data_location_s3: Option<String>
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
invalid_record_count: Option<i64>
The number of invalid records that Amazon Machine Learning saw while processing the BatchPrediction
.
last_updated_at: Option<f64>
The time of the most recent edit to BatchPrediction
. The time is expressed in epoch time.
log_uri: Option<String>
A link to the file that contains logs of the CreateBatchPrediction
operation.
ml_model_id: Option<String>
The ID of the MLModel
that generated predictions for the BatchPrediction
request.
message: Option<String>
A description of the most recent details about processing the batch prediction request.
name: Option<String>
A user-supplied name or description of the BatchPrediction
.
output_uri: Option<String>
The location of an Amazon S3 bucket or directory to receive the operation results.
started_at: Option<f64>
The epoch time when Amazon Machine Learning marked the BatchPrediction
as INPROGRESS
. StartedAt
isn't available if the BatchPrediction
is in the PENDING
state.
status: Option<String>
The status of the BatchPrediction
, which can be one of the following values:
-
PENDING
- Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions. -
INPROGRESS
- The batch predictions are in progress. -
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
- TheBatchPrediction
is marked as deleted. It is not usable.
total_record_count: Option<i64>
The number of total records that Amazon Machine Learning saw while processing the BatchPrediction
.
Trait Implementations
impl Default for GetBatchPredictionOutput
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fn default() -> GetBatchPredictionOutput
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Returns the "default value" for a type. Read more
impl Debug for GetBatchPredictionOutput
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impl Clone for GetBatchPredictionOutput
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fn clone(&self) -> GetBatchPredictionOutput
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Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
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Performs copy-assignment from source
. Read more