Class CfnModelPackagePropsMixin.TransformInputProperty.Builder
- All Implemented Interfaces:
software.amazon.jsii.Builder<CfnModelPackagePropsMixin.TransformInputProperty>
- Enclosing interface:
CfnModelPackagePropsMixin.TransformInputProperty
CfnModelPackagePropsMixin.TransformInputProperty-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionbuild()Builds the configured instance.compressionType(String compressionType) Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getCompressionType()contentType(String contentType) Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getContentType()Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getDataSource()dataSource(IResolvable dataSource) Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getDataSource()Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getSplitType()
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Constructor Details
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Builder
public Builder()
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Method Details
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compressionType
@Stability(Stable) public CfnModelPackagePropsMixin.TransformInputProperty.Builder compressionType(String compressionType) Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getCompressionType()- Parameters:
compressionType- If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value isNone.- Returns:
this
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contentType
@Stability(Stable) public CfnModelPackagePropsMixin.TransformInputProperty.Builder contentType(String contentType) Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getContentType()- Parameters:
contentType- 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.- Returns:
this
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dataSource
@Stability(Stable) public CfnModelPackagePropsMixin.TransformInputProperty.Builder dataSource(IResolvable dataSource) Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getDataSource()- Parameters:
dataSource- Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.- Returns:
this
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dataSource
@Stability(Stable) public CfnModelPackagePropsMixin.TransformInputProperty.Builder dataSource(CfnModelPackagePropsMixin.DataSourceProperty dataSource) Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getDataSource()- Parameters:
dataSource- Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.- Returns:
this
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splitType
@Stability(Stable) public CfnModelPackagePropsMixin.TransformInputProperty.Builder splitType(String splitType) Sets the value ofCfnModelPackagePropsMixin.TransformInputProperty.getSplitType()- Parameters:
splitType- 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 forSplitTypeisNone, 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 toLineto split records on a newline character boundary.SplitTypealso supports a number of record-oriented binary data formats. Currently, the supported record formats are:- RecordIO
- TFRecord
When splitting is enabled, the size of a mini-batch depends on the values of the
BatchStrategyandMaxPayloadInMBparameters. When the value ofBatchStrategyisMultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to theMaxPayloadInMBlimit. If the value ofBatchStrategyisSingleRecord, 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
BatchStrategyis set toSingleRecord. Padding is not removed if the value ofBatchStrategyis set toMultiRecord.For more information about
RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information aboutTFRecord, see Consuming TFRecord data in the TensorFlow documentation.- Returns:
this
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build
Builds the configured instance.- Specified by:
buildin interfacesoftware.amazon.jsii.Builder<CfnModelPackagePropsMixin.TransformInputProperty>- Returns:
- a new instance of
CfnModelPackagePropsMixin.TransformInputProperty - Throws:
NullPointerException- if any required attribute was not provided
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