Struct aws_sdk_machinelearning::input::CreateBatchPredictionInput

#[non_exhaustive]
pub struct CreateBatchPredictionInput {
    pub batch_prediction_id: Option<String>,
    pub batch_prediction_name: Option<String>,
    pub ml_model_id: Option<String>,
    pub batch_prediction_data_source_id: Option<String>,
    pub output_uri: Option<String>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

batch_prediction_id: Option<String>

A user-supplied ID that uniquely identifies the BatchPrediction.

batch_prediction_name: Option<String>

A user-supplied name or description of the BatchPrediction. BatchPredictionName can only use the UTF-8 character set.

ml_model_id: Option<String>

The ID of the MLModel that will generate predictions for the group of observations.

batch_prediction_data_source_id: Option<String>

The ID of the DataSource that points to the group of observations to predict.

output_uri: Option<String>

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.

Implementations

impl CreateBatchPredictionInput

pub async fn make_operation(
    &self,
    _config: &Config
) -> Result<Operation<CreateBatchPrediction, AwsErrorRetryPolicy>, BuildError>

Consumes the builder and constructs an Operation<CreateBatchPrediction>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture CreateBatchPredictionInput

impl CreateBatchPredictionInput

pub fn batch_prediction_id(&self) -> Option<&str>

A user-supplied ID that uniquely identifies the BatchPrediction.

pub fn batch_prediction_name(&self) -> Option<&str>

A user-supplied name or description of the BatchPrediction. BatchPredictionName can only use the UTF-8 character set.

pub fn ml_model_id(&self) -> Option<&str>

The ID of the MLModel that will generate predictions for the group of observations.

pub fn batch_prediction_data_source_id(&self) -> Option<&str>

The ID of the DataSource that points to the group of observations to predict.

pub fn output_uri(&self) -> Option<&str>

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

impl Clone for CreateBatchPredictionInput

fn clone(&self) -> CreateBatchPredictionInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateBatchPredictionInput

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

Formats the value using the given formatter.

impl PartialEq<CreateBatchPredictionInput> for CreateBatchPredictionInput

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

This method tests for self and other values to be equal, and is used by ==.

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

This method tests for !=.

impl StructuralPartialEq for CreateBatchPredictionInput