[−][src]Struct rusoto_sagemaker::TransformInput
Describes the input source of a transform job and the way the transform job consumes it.
Fields
compression_type: Option<String>
If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None
.
content_type: Option<String>
The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.
data_source: TransformDataSource
Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
split_type: Option<String>
The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType
is None
, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line
to split records on a newline character boundary. SplitType
also supports a number of record-oriented binary data formats.
When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy
and MaxPayloadInMB
parameters. When the value of BatchStrategy
is MultiRecord
, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB
limit. If the value of BatchStrategy
is SingleRecord
, Amazon SageMaker sends individual records in each request.
Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy
is set to SingleRecord
. Padding is not removed if the value of BatchStrategy
is set to MultiRecord
.
For more information about RecordIO
, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord
, see Consuming TFRecord data in the TensorFlow documentation.
Trait Implementations
impl Clone for TransformInput
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pub fn clone(&self) -> TransformInput
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for TransformInput
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impl Default for TransformInput
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pub fn default() -> TransformInput
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impl<'de> Deserialize<'de> for TransformInput
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pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
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__D: Deserializer<'de>,
impl PartialEq<TransformInput> for TransformInput
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pub fn eq(&self, other: &TransformInput) -> bool
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pub fn ne(&self, other: &TransformInput) -> bool
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impl Serialize for TransformInput
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pub fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
__S: Serializer,
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__S: Serializer,
impl StructuralPartialEq for TransformInput
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Auto Trait Implementations
impl RefUnwindSafe for TransformInput
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impl Send for TransformInput
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impl Sync for TransformInput
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impl Unpin for TransformInput
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impl UnwindSafe for TransformInput
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> DeserializeOwned for T where
T: for<'de> Deserialize<'de>,
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T: for<'de> Deserialize<'de>,
impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,