[][src]Struct rusoto_forecast::PredictorSummary

pub struct PredictorSummary {
    pub creation_time: Option<f64>,
    pub dataset_group_arn: Option<String>,
    pub last_modification_time: Option<f64>,
    pub message: Option<String>,
    pub predictor_arn: Option<String>,
    pub predictor_name: Option<String>,
    pub status: Option<String>,
}

Provides a summary of the predictor properties that are used in the ListPredictors operation. To get the complete set of properties, call the DescribePredictor operation, and provide the listed PredictorArn.

Fields

creation_time: Option<f64>

When the model training task was created.

dataset_group_arn: Option<String>

The Amazon Resource Name (ARN) of the dataset group that contains the data used to train the predictor.

last_modification_time: Option<f64>

Initially, the same as CreationTime (status is CREATE_PENDING). Updated when training starts (status changed to CREATE_IN_PROGRESS), and when training is complete (status changed to ACTIVE) or fails (status changed to CREATE_FAILED).

message: Option<String>

If an error occurred, an informational message about the error.

predictor_arn: Option<String>

The ARN of the predictor.

predictor_name: Option<String>

The name of the predictor.

status: Option<String>

The status of the predictor. States include:

  • ACTIVE

  • CREATEPENDING, CREATEINPROGRESS, CREATEFAILED

  • DELETEPENDING, DELETEINPROGRESS, DELETEFAILED

  • UPDATEPENDING, UPDATEINPROGRESS, UPDATEFAILED

The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.

Trait Implementations

impl Clone for PredictorSummary[src]

impl Debug for PredictorSummary[src]

impl Default for PredictorSummary[src]

impl<'de> Deserialize<'de> for PredictorSummary[src]

impl PartialEq<PredictorSummary> for PredictorSummary[src]

impl StructuralPartialEq for PredictorSummary[src]

Auto Trait Implementations

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