Struct aws_sdk_machinelearning::operation::create_data_source_from_s3::CreateDataSourceFromS3Input
source · #[non_exhaustive]pub struct CreateDataSourceFromS3Input {
pub data_source_id: Option<String>,
pub data_source_name: Option<String>,
pub data_spec: Option<S3DataSpec>,
pub compute_statistics: Option<bool>,
}
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.data_source_id: Option<String>
A user-supplied identifier that uniquely identifies the DataSource
.
data_source_name: Option<String>
A user-supplied name or description of the DataSource
.
data_spec: 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}}"
compute_statistics: 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.
Implementations§
source§impl CreateDataSourceFromS3Input
impl CreateDataSourceFromS3Input
sourcepub fn data_source_id(&self) -> Option<&str>
pub fn data_source_id(&self) -> Option<&str>
A user-supplied identifier that uniquely identifies the DataSource
.
sourcepub fn data_source_name(&self) -> Option<&str>
pub fn data_source_name(&self) -> Option<&str>
A user-supplied name or description of the DataSource
.
sourcepub fn data_spec(&self) -> Option<&S3DataSpec>
pub fn 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) -> Option<bool>
pub fn 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.
source§impl CreateDataSourceFromS3Input
impl CreateDataSourceFromS3Input
sourcepub fn builder() -> CreateDataSourceFromS3InputBuilder
pub fn builder() -> CreateDataSourceFromS3InputBuilder
Creates a new builder-style object to manufacture CreateDataSourceFromS3Input
.
Trait Implementations§
source§impl Clone for CreateDataSourceFromS3Input
impl Clone for CreateDataSourceFromS3Input
source§fn clone(&self) -> CreateDataSourceFromS3Input
fn clone(&self) -> CreateDataSourceFromS3Input
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for CreateDataSourceFromS3Input
impl Debug for CreateDataSourceFromS3Input
source§impl PartialEq for CreateDataSourceFromS3Input
impl PartialEq for CreateDataSourceFromS3Input
source§fn eq(&self, other: &CreateDataSourceFromS3Input) -> bool
fn eq(&self, other: &CreateDataSourceFromS3Input) -> bool
self
and other
values to be equal, and is used
by ==
.impl StructuralPartialEq for CreateDataSourceFromS3Input
Auto Trait Implementations§
impl Freeze for CreateDataSourceFromS3Input
impl RefUnwindSafe for CreateDataSourceFromS3Input
impl Send for CreateDataSourceFromS3Input
impl Sync for CreateDataSourceFromS3Input
impl Unpin for CreateDataSourceFromS3Input
impl UnwindSafe for CreateDataSourceFromS3Input
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