Struct aws_sdk_sagemaker::model::dataset_definition::Builder

pub struct Builder { /* private fields */ }

A builder for DatasetDefinition.

Implementations

impl Builder

pub fn athena_dataset_definition(self, input: AthenaDatasetDefinition) -> Self

Configuration for Athena Dataset Definition input.

pub fn set_athena_dataset_definition(
    self,
    input: Option<AthenaDatasetDefinition>
) -> Self

Configuration for Athena Dataset Definition input.

pub fn redshift_dataset_definition(
    self,
    input: RedshiftDatasetDefinition
) -> Self

Configuration for Redshift Dataset Definition input.

pub fn set_redshift_dataset_definition(
    self,
    input: Option<RedshiftDatasetDefinition>
) -> Self

Configuration for Redshift Dataset Definition input.

pub fn local_path(self, input: impl Into<String>) -> Self

The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).

pub fn set_local_path(self, input: Option<String>) -> Self

The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).

pub fn data_distribution_type(self, input: DataDistributionType) -> Self

Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).

pub fn set_data_distribution_type(
    self,
    input: Option<DataDistributionType>
) -> Self

Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).

pub fn input_mode(self, input: InputMode) -> Self

Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

pub fn set_input_mode(self, input: Option<InputMode>) -> Self

Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

pub fn build(self) -> DatasetDefinition

Consumes the builder and constructs a DatasetDefinition.

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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

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

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

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

impl StructuralPartialEq for Builder