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

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<AutoMLJobChannel.Builder,AutoMLJobChannel>
```
@Generated("software.amazon.awssdk:codegen")
public final class AutoMLJobChannel
extends Object
implements SdkPojo, Serializable, ToCopyableBuilder<AutoMLJobChannel.Builder,AutoMLJobChannel>
```
A channel is a named input source that training algorithms can consume. This channel is used for AutoML jobs V2 (jobs created by calling CreateAutoMLJobV2).

See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static interface AutoMLJobChannel.Builder

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static AutoMLJobChannel.Builder`	`builder()`
`AutoMLChannelType`	`channelType()`	The type of channel.
`String`	`channelTypeAsString()`	The type of channel.
`CompressionType`	`compressionType()`	The allowed compression types depend on the input format and problem type.
`String`	`compressionTypeAsString()`	The allowed compression types depend on the input format and problem type.
`String`	`contentType()`	The content type of the data from the input source.
`AutoMLDataSource`	`dataSource()`	The data source for an AutoML channel (Required).
`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 AutoMLJobChannel.Builder>`	`serializableBuilderClass()`
`AutoMLJobChannel.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
  - channelType
```
public final AutoMLChannelType channelType()
```
    The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType
    
    The type of channel defaults to training for the time-series forecasting problem type.
    
    If the service returns an enum value that is not available in the current SDK version, channelType will return AutoMLChannelType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from channelTypeAsString().
    
    Returns:
    
    The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType
    
    The type of channel defaults to training for the time-series forecasting problem type.
    
    See Also:
    
    AutoMLChannelType
  - channelTypeAsString
```
public final String channelTypeAsString()
```
    The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType
    
    The type of channel defaults to training for the time-series forecasting problem type.
    
    If the service returns an enum value that is not available in the current SDK version, channelType will return AutoMLChannelType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from channelTypeAsString().
    
    Returns:
    
    The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType
    
    The type of channel defaults to training for the time-series forecasting problem type.
    
    See Also:
    
    AutoMLChannelType
  - contentType
```
public final String contentType()
```
    The content type of the data from the input source. The following are the allowed content types for different problems:
    
    For tabular problem types: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
    
    For image classification: image/png, image/jpeg, or image/*. The default value is image/*.
    
    For text classification: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
    
    For time-series forecasting: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
    
    For text generation (LLMs fine-tuning): text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
    Returns:
    
    The content type of the data from the input source. The following are the allowed content types for different problems:
    
    For tabular problem types: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
    
    For image classification: image/png, image/jpeg, or image/*. The default value is image/*.
    
    For text classification: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
    
    For time-series forecasting: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
    
    For text generation (LLMs fine-tuning): text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
  - compressionType
```
public final CompressionType compressionType()
```
    The allowed compression types depend on the input format and problem type. We allow the compression type Gzip for S3Prefix inputs on tabular data only. For all other inputs, the compression type should be None. If no compression type is provided, we default to 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:
    
    The allowed compression types depend on the input format and problem type. We allow the compression type Gzip for S3Prefix inputs on tabular data only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.
    
    See Also:
    
    CompressionType
  - compressionTypeAsString
```
public final String compressionTypeAsString()
```
    The allowed compression types depend on the input format and problem type. We allow the compression type Gzip for S3Prefix inputs on tabular data only. For all other inputs, the compression type should be None. If no compression type is provided, we default to 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:
    
    The allowed compression types depend on the input format and problem type. We allow the compression type Gzip for S3Prefix inputs on tabular data only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.
    
    See Also:
    
    CompressionType
  - dataSource
```
public final AutoMLDataSource dataSource()
```
    The data source for an AutoML channel (Required).
    
    Returns:
    
    The data source for an AutoML channel (Required).
  - toBuilder
```
public AutoMLJobChannel.Builder toBuilder()
```
    Specified by:
    
    toBuilder in interface ToCopyableBuilder<AutoMLJobChannel.Builder,AutoMLJobChannel>
  - builder
```
public static AutoMLJobChannel.Builder builder()
```
  - serializableBuilderClass
```
public static Class<? extends AutoMLJobChannel.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 AutoMLJobChannel

Nested Class Summary

Method Summary

Methods inherited from class java.lang.Object

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

Method Detail

channelType

channelTypeAsString

contentType

compressionType

compressionTypeAsString

dataSource

toBuilder

builder

serializableBuilderClass

hashCode

equals

equalsBySdkFields

toString

getValueForField

sdkFields

sdkFieldNameToField