Struct aws_sdk_machinelearning::operation::create_data_source_from_s3::builders::CreateDataSourceFromS3InputBuilder
source · #[non_exhaustive]pub struct CreateDataSourceFromS3InputBuilder { /* private fields */ }
Expand description
A builder for CreateDataSourceFromS3Input
.
Implementations§
source§impl CreateDataSourceFromS3InputBuilder
impl CreateDataSourceFromS3InputBuilder
sourcepub fn data_source_id(self, input: impl Into<String>) -> Self
pub fn data_source_id(self, input: impl Into<String>) -> Self
A user-supplied identifier that uniquely identifies the DataSource
.
sourcepub fn set_data_source_id(self, input: Option<String>) -> Self
pub fn set_data_source_id(self, input: Option<String>) -> Self
A user-supplied identifier that uniquely identifies the DataSource
.
sourcepub fn get_data_source_id(&self) -> &Option<String>
pub fn get_data_source_id(&self) -> &Option<String>
A user-supplied identifier that uniquely identifies the DataSource
.
sourcepub fn data_source_name(self, input: impl Into<String>) -> Self
pub fn data_source_name(self, input: impl Into<String>) -> Self
A user-supplied name or description of the DataSource
.
sourcepub fn set_data_source_name(self, input: Option<String>) -> Self
pub fn set_data_source_name(self, input: Option<String>) -> Self
A user-supplied name or description of the DataSource
.
sourcepub fn get_data_source_name(&self) -> &Option<String>
pub fn get_data_source_name(&self) -> &Option<String>
A user-supplied name or description of the DataSource
.
sourcepub fn data_spec(self, input: S3DataSpec) -> Self
pub fn data_spec(self, input: S3DataSpec) -> Self
The data specification of a DataSource
:
-
DataLocationS3 - The Amazon S3 location of the observation data.
-
DataSchemaLocationS3 - The Amazon S3 location of the
DataSchema
. -
DataSchema - A JSON string representing the schema. This is not required if
DataSchemaUri
is specified. -
DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the
Datasource
.Sample -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
sourcepub fn set_data_spec(self, input: Option<S3DataSpec>) -> Self
pub fn set_data_spec(self, input: Option<S3DataSpec>) -> Self
The data specification of a DataSource
:
-
DataLocationS3 - The Amazon S3 location of the observation data.
-
DataSchemaLocationS3 - The Amazon S3 location of the
DataSchema
. -
DataSchema - A JSON string representing the schema. This is not required if
DataSchemaUri
is specified. -
DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the
Datasource
.Sample -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
sourcepub fn get_data_spec(&self) -> &Option<S3DataSpec>
pub fn get_data_spec(&self) -> &Option<S3DataSpec>
The data specification of a DataSource
:
-
DataLocationS3 - The Amazon S3 location of the observation data.
-
DataSchemaLocationS3 - The Amazon S3 location of the
DataSchema
. -
DataSchema - A JSON string representing the schema. This is not required if
DataSchemaUri
is specified. -
DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the
Datasource
.Sample -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
sourcepub fn compute_statistics(self, input: bool) -> Self
pub fn compute_statistics(self, input: bool) -> Self
The compute statistics for a DataSource
. The statistics are generated from the observation data referenced by a DataSource
. Amazon ML uses the statistics internally during MLModel
training. This parameter must be set to true
if the DataSource
needs to be used for
MLModel
training.
sourcepub fn set_compute_statistics(self, input: Option<bool>) -> Self
pub fn set_compute_statistics(self, input: Option<bool>) -> Self
The compute statistics for a DataSource
. The statistics are generated from the observation data referenced by a DataSource
. Amazon ML uses the statistics internally during MLModel
training. This parameter must be set to true
if the DataSource
needs to be used for
MLModel
training.
sourcepub fn get_compute_statistics(&self) -> &Option<bool>
pub fn get_compute_statistics(&self) -> &Option<bool>
The compute statistics for a DataSource
. The statistics are generated from the observation data referenced by a DataSource
. Amazon ML uses the statistics internally during MLModel
training. This parameter must be set to true
if the DataSource
needs to be used for
MLModel
training.
sourcepub fn build(self) -> Result<CreateDataSourceFromS3Input, BuildError>
pub fn build(self) -> Result<CreateDataSourceFromS3Input, BuildError>
Consumes the builder and constructs a CreateDataSourceFromS3Input
.
source§impl CreateDataSourceFromS3InputBuilder
impl CreateDataSourceFromS3InputBuilder
sourcepub async fn send_with(
self,
client: &Client
) -> Result<CreateDataSourceFromS3Output, SdkError<CreateDataSourceFromS3Error, HttpResponse>>
pub async fn send_with( self, client: &Client ) -> Result<CreateDataSourceFromS3Output, SdkError<CreateDataSourceFromS3Error, HttpResponse>>
Sends a request with this input using the given client.
Trait Implementations§
source§impl Clone for CreateDataSourceFromS3InputBuilder
impl Clone for CreateDataSourceFromS3InputBuilder
source§fn clone(&self) -> CreateDataSourceFromS3InputBuilder
fn clone(&self) -> CreateDataSourceFromS3InputBuilder
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Default for CreateDataSourceFromS3InputBuilder
impl Default for CreateDataSourceFromS3InputBuilder
source§fn default() -> CreateDataSourceFromS3InputBuilder
fn default() -> CreateDataSourceFromS3InputBuilder
source§impl PartialEq for CreateDataSourceFromS3InputBuilder
impl PartialEq for CreateDataSourceFromS3InputBuilder
source§fn eq(&self, other: &CreateDataSourceFromS3InputBuilder) -> bool
fn eq(&self, other: &CreateDataSourceFromS3InputBuilder) -> bool
self
and other
values to be equal, and is used
by ==
.impl StructuralPartialEq for CreateDataSourceFromS3InputBuilder
Auto Trait Implementations§
impl Freeze for CreateDataSourceFromS3InputBuilder
impl RefUnwindSafe for CreateDataSourceFromS3InputBuilder
impl Send for CreateDataSourceFromS3InputBuilder
impl Sync for CreateDataSourceFromS3InputBuilder
impl Unpin for CreateDataSourceFromS3InputBuilder
impl UnwindSafe for CreateDataSourceFromS3InputBuilder
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
source§impl<T> Instrument for T
impl<T> Instrument for T
source§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
source§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read more