Struct GetBatchPredictionOutput

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 - The BatchPrediction 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 Clone for GetBatchPredictionOutput

fn clone(&self) -> GetBatchPredictionOutput

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GetBatchPredictionOutput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GetBatchPredictionOutput

fn default() -> GetBatchPredictionOutput

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GetBatchPredictionOutput

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for GetBatchPredictionOutput

fn eq(&self, other: &GetBatchPredictionOutput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for GetBatchPredictionOutput