pub struct CreateBatchPrediction { /* private fields */ }
Expand description
Fluent builder constructing a request to CreateBatchPrediction
.
Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a DataSource
. This operation creates a new BatchPrediction
, and uses an MLModel
and the data files referenced by the DataSource
as information sources.
CreateBatchPrediction
is an asynchronous operation. In response to CreateBatchPrediction
, Amazon Machine Learning (Amazon ML) immediately returns and sets the BatchPrediction
status to PENDING
. After the BatchPrediction
completes, Amazon ML sets the status to COMPLETED
.
You can poll for status updates by using the GetBatchPrediction
operation and checking the Status
parameter of the result. After the COMPLETED
status appears, the results are available in the location specified by the OutputUri
parameter.
Implementations§
source§impl CreateBatchPrediction
impl CreateBatchPrediction
sourcepub async fn customize(
self
) -> Result<CustomizableOperation<CreateBatchPrediction, AwsResponseRetryClassifier>, SdkError<CreateBatchPredictionError>>
pub async fn customize(
self
) -> Result<CustomizableOperation<CreateBatchPrediction, AwsResponseRetryClassifier>, SdkError<CreateBatchPredictionError>>
Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.
sourcepub async fn send(
self
) -> Result<CreateBatchPredictionOutput, SdkError<CreateBatchPredictionError>>
pub async fn send(
self
) -> Result<CreateBatchPredictionOutput, SdkError<CreateBatchPredictionError>>
Sends the request and returns the response.
If an error occurs, an SdkError
will be returned with additional details that
can be matched against.
By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.
sourcepub fn batch_prediction_id(self, input: impl Into<String>) -> Self
pub fn batch_prediction_id(self, input: impl Into<String>) -> Self
A user-supplied ID that uniquely identifies the BatchPrediction
.
sourcepub fn set_batch_prediction_id(self, input: Option<String>) -> Self
pub fn set_batch_prediction_id(self, input: Option<String>) -> Self
A user-supplied ID that uniquely identifies the BatchPrediction
.
sourcepub fn batch_prediction_name(self, input: impl Into<String>) -> Self
pub fn batch_prediction_name(self, input: impl Into<String>) -> Self
A user-supplied name or description of the BatchPrediction
. BatchPredictionName
can only use the UTF-8 character set.
sourcepub fn set_batch_prediction_name(self, input: Option<String>) -> Self
pub fn set_batch_prediction_name(self, input: Option<String>) -> Self
A user-supplied name or description of the BatchPrediction
. BatchPredictionName
can only use the UTF-8 character set.
sourcepub fn ml_model_id(self, input: impl Into<String>) -> Self
pub fn ml_model_id(self, input: impl Into<String>) -> Self
The ID of the MLModel
that will generate predictions for the group of observations.
sourcepub fn set_ml_model_id(self, input: Option<String>) -> Self
pub fn set_ml_model_id(self, input: Option<String>) -> Self
The ID of the MLModel
that will generate predictions for the group of observations.
sourcepub fn batch_prediction_data_source_id(self, input: impl Into<String>) -> Self
pub fn batch_prediction_data_source_id(self, input: impl Into<String>) -> Self
The ID of the DataSource
that points to the group of observations to predict.
sourcepub fn set_batch_prediction_data_source_id(self, input: Option<String>) -> Self
pub fn set_batch_prediction_data_source_id(self, input: Option<String>) -> Self
The ID of the DataSource
that points to the group of observations to predict.
sourcepub fn output_uri(self, input: impl Into<String>) -> Self
pub fn output_uri(self, input: impl Into<String>) -> Self
The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the s3 key
portion of the outputURI
field: ':', '//', '/./', '/../'.
Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the Amazon Machine Learning Developer Guide.
sourcepub fn set_output_uri(self, input: Option<String>) -> Self
pub fn set_output_uri(self, input: Option<String>) -> Self
The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the s3 key
portion of the outputURI
field: ':', '//', '/./', '/../'.
Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the Amazon Machine Learning Developer Guide.
Trait Implementations§
source§impl Clone for CreateBatchPrediction
impl Clone for CreateBatchPrediction
source§fn clone(&self) -> CreateBatchPrediction
fn clone(&self) -> CreateBatchPrediction
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read more