Struct aws_sdk_sagemaker::types::builders::DatasetDefinitionBuilder
source · #[non_exhaustive]pub struct DatasetDefinitionBuilder { /* private fields */ }
Expand description
A builder for DatasetDefinition
.
Implementations§
source§impl DatasetDefinitionBuilder
impl DatasetDefinitionBuilder
sourcepub fn athena_dataset_definition(self, input: AthenaDatasetDefinition) -> Self
pub fn athena_dataset_definition(self, input: AthenaDatasetDefinition) -> Self
Configuration for Athena Dataset Definition input.
sourcepub fn set_athena_dataset_definition(
self,
input: Option<AthenaDatasetDefinition>
) -> Self
pub fn set_athena_dataset_definition( self, input: Option<AthenaDatasetDefinition> ) -> Self
Configuration for Athena Dataset Definition input.
sourcepub fn get_athena_dataset_definition(&self) -> &Option<AthenaDatasetDefinition>
pub fn get_athena_dataset_definition(&self) -> &Option<AthenaDatasetDefinition>
Configuration for Athena Dataset Definition input.
sourcepub fn redshift_dataset_definition(
self,
input: RedshiftDatasetDefinition
) -> Self
pub fn redshift_dataset_definition( self, input: RedshiftDatasetDefinition ) -> Self
Configuration for Redshift Dataset Definition input.
sourcepub fn set_redshift_dataset_definition(
self,
input: Option<RedshiftDatasetDefinition>
) -> Self
pub fn set_redshift_dataset_definition( self, input: Option<RedshiftDatasetDefinition> ) -> Self
Configuration for Redshift Dataset Definition input.
sourcepub fn get_redshift_dataset_definition(
&self
) -> &Option<RedshiftDatasetDefinition>
pub fn get_redshift_dataset_definition( &self ) -> &Option<RedshiftDatasetDefinition>
Configuration for Redshift Dataset Definition input.
sourcepub fn local_path(self, input: impl Into<String>) -> Self
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).
sourcepub fn set_local_path(self, input: Option<String>) -> Self
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).
sourcepub fn get_local_path(&self) -> &Option<String>
pub fn get_local_path(&self) -> &Option<String>
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).
sourcepub fn data_distribution_type(self, input: DataDistributionType) -> Self
pub fn data_distribution_type(self, input: DataDistributionType) -> Self
Whether the generated dataset is FullyReplicated
or ShardedByS3Key
(default).
sourcepub fn set_data_distribution_type(
self,
input: Option<DataDistributionType>
) -> Self
pub fn set_data_distribution_type( self, input: Option<DataDistributionType> ) -> Self
Whether the generated dataset is FullyReplicated
or ShardedByS3Key
(default).
sourcepub fn get_data_distribution_type(&self) -> &Option<DataDistributionType>
pub fn get_data_distribution_type(&self) -> &Option<DataDistributionType>
Whether the generated dataset is FullyReplicated
or ShardedByS3Key
(default).
sourcepub fn input_mode(self, input: InputMode) -> Self
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.
sourcepub fn set_input_mode(self, input: Option<InputMode>) -> Self
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.
sourcepub fn get_input_mode(&self) -> &Option<InputMode>
pub fn get_input_mode(&self) -> &Option<InputMode>
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.
sourcepub fn build(self) -> DatasetDefinition
pub fn build(self) -> DatasetDefinition
Consumes the builder and constructs a DatasetDefinition
.
Trait Implementations§
source§impl Clone for DatasetDefinitionBuilder
impl Clone for DatasetDefinitionBuilder
source§fn clone(&self) -> DatasetDefinitionBuilder
fn clone(&self) -> DatasetDefinitionBuilder
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for DatasetDefinitionBuilder
impl Debug for DatasetDefinitionBuilder
source§impl Default for DatasetDefinitionBuilder
impl Default for DatasetDefinitionBuilder
source§fn default() -> DatasetDefinitionBuilder
fn default() -> DatasetDefinitionBuilder
source§impl PartialEq for DatasetDefinitionBuilder
impl PartialEq for DatasetDefinitionBuilder
source§fn eq(&self, other: &DatasetDefinitionBuilder) -> bool
fn eq(&self, other: &DatasetDefinitionBuilder) -> bool
self
and other
values to be equal, and is used
by ==
.