java.lang.Object
- software.amazon.awssdk.services.sagemaker.model.TransformInput

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<TransformInput.Builder,TransformInput>
```
@Generated("software.amazon.awssdk:codegen")
public final class TransformInput
extends Object
implements SdkPojo, Serializable, ToCopyableBuilder<TransformInput.Builder,TransformInput>
```
Describes the input source of a transform job and the way the transform job consumes it.

See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static interface TransformInput.Builder

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static TransformInput.Builder`	`builder()`
`CompressionType`	`compressionType()`	If your transform data is compressed, specify the compression type.
`String`	`compressionTypeAsString()`	If your transform data is compressed, specify the compression type.
`String`	`contentType()`	The multipurpose internet mail extension (MIME) type of the data.
`TransformDataSource`	`dataSource()`	Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
`boolean`	`equals(Object obj)`
`boolean`	`equalsBySdkFields(Object obj)`
`<T> Optional<T>`	`getValueForField(String fieldName, Class<T> clazz)`
`int`	`hashCode()`
`Map<String,SdkField<?>>`	`sdkFieldNameToField()`
`List<SdkField<?>>`	`sdkFields()`
`static Class<? extends TransformInput.Builder>`	`serializableBuilderClass()`
`SplitType`	`splitType()`	The method to use to split the transform job's data files into smaller batches.
`String`	`splitTypeAsString()`	The method to use to split the transform job's data files into smaller batches.
`TransformInput.Builder`	`toBuilder()`
`String`	`toString()`	Returns a string representation of this object.

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy

- Method Detail
  - dataSource
```
public final TransformDataSource dataSource()
```
    Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
    
    Returns:
    
    Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
  - contentType
```
public final String 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:
    
    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.
  - compressionType
```
public final CompressionType 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 is None.
    
    If the service returns an enum value that is not available in the current SDK version, compressionType will return CompressionType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from compressionTypeAsString().
    
    Returns:
    
    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.
    
    See Also:
    
    CompressionType
  - compressionTypeAsString
```
public final String compressionTypeAsString()
```
    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.
    
    If the service returns an enum value that is not available in the current SDK version, compressionType will return CompressionType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from compressionTypeAsString().
    
    Returns:
    
    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.
    
    See Also:
    
    CompressionType
  - splitType
```
public final SplitType 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 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. Currently, the supported record formats are:
    
    RecordIO
    
    TFRecord
    
    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.
    
    If the service returns an enum value that is not available in the current SDK version, splitType will return SplitType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from splitTypeAsString().
    Returns:
    
    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. Currently, the supported record formats are:
    
    RecordIO
    
    TFRecord
    
    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.
    
    See Also:
    
    SplitType
  - splitTypeAsString
```
public final String splitTypeAsString()
```
    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. Currently, the supported record formats are:
    
    RecordIO
    
    TFRecord
    
    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.
    
    If the service returns an enum value that is not available in the current SDK version, splitType will return SplitType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from splitTypeAsString().
    Returns:
    
    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. Currently, the supported record formats are:
    
    RecordIO
    
    TFRecord
    
    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.
    
    See Also:
    
    SplitType
  - toBuilder
```
public TransformInput.Builder toBuilder()
```
    Specified by:
    
    toBuilder in interface ToCopyableBuilder<TransformInput.Builder,TransformInput>
  - builder
```
public static TransformInput.Builder builder()
```
  - serializableBuilderClass
```
public static Class<? extends TransformInput.Builder> serializableBuilderClass()
```
  - hashCode
```
public final int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public final boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - equalsBySdkFields
```
public final boolean equalsBySdkFields(Object obj)
```
    Specified by:
    
    equalsBySdkFields in interface SdkPojo
  - toString
```
public final String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
  - getValueForField
```
public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)
```
  - sdkFields
```
public final List<SdkField<?>> sdkFields()
```
    Specified by:
    
    sdkFields in interface SdkPojo
  - sdkFieldNameToField
```
public final Map<String,SdkField<?>> sdkFieldNameToField()
```
    Specified by:
    
    sdkFieldNameToField in interface SdkPojo

Class TransformInput

Nested Class Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

Method Detail

dataSource

contentType

compressionType

compressionTypeAsString

splitType

splitTypeAsString

toBuilder

builder

serializableBuilderClass

hashCode

equals

equalsBySdkFields

toString

getValueForField

sdkFields

sdkFieldNameToField