Class AutoMLS3DataSource
- java.lang.Object
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- software.amazon.awssdk.services.sagemaker.model.AutoMLS3DataSource
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- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<AutoMLS3DataSource.Builder,AutoMLS3DataSource>
@Generated("software.amazon.awssdk:codegen") public final class AutoMLS3DataSource extends Object implements SdkPojo, Serializable, ToCopyableBuilder<AutoMLS3DataSource.Builder,AutoMLS3DataSource>
Describes the Amazon S3 data source.
- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static interfaceAutoMLS3DataSource.Builder
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static AutoMLS3DataSource.Builderbuilder()booleanequals(Object obj)booleanequalsBySdkFields(Object obj)<T> Optional<T>getValueForField(String fieldName, Class<T> clazz)inthashCode()AutoMLS3DataTypes3DataType()The data type.Strings3DataTypeAsString()The data type.Strings3Uri()The URL to the Amazon S3 data source.List<SdkField<?>>sdkFields()static Class<? extends AutoMLS3DataSource.Builder>serializableBuilderClass()AutoMLS3DataSource.BuildertoBuilder()StringtoString()Returns a string representation of this object.-
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Detail
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s3DataType
public final AutoMLS3DataType s3DataType()
The data type.
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If you choose
S3Prefix,S3Uriidentifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.The
S3Prefixshould have the following format:s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE -
If you choose
ManifestFile,S3Uriidentifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.A
ManifestFileshould have the format shown below:[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1","DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ] -
If you choose
AugmentedManifestFile,S3Uriidentifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training.AugmentedManifestFileis available for V2 API jobs only (for example, for jobs created by callingCreateAutoMLJobV2).Here is a minimal, single-record example of an
AugmentedManifestFile:{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg","label-metadata": {"class-name": "cat"For more information on
AugmentedManifestFile, see Provide Dataset Metadata to Training Jobs with an Augmented Manifest File.
If the service returns an enum value that is not available in the current SDK version,
s3DataTypewill returnAutoMLS3DataType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available froms3DataTypeAsString().- Returns:
- The data type.
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If you choose
S3Prefix,S3Uriidentifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.The
S3Prefixshould have the following format:s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE -
If you choose
ManifestFile,S3Uriidentifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.A
ManifestFileshould have the format shown below:[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1","DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ] -
If you choose
AugmentedManifestFile,S3Uriidentifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training.AugmentedManifestFileis available for V2 API jobs only (for example, for jobs created by callingCreateAutoMLJobV2).Here is a minimal, single-record example of an
AugmentedManifestFile:{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg","label-metadata": {"class-name": "cat"For more information on
AugmentedManifestFile, see Provide Dataset Metadata to Training Jobs with an Augmented Manifest File.
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- See Also:
AutoMLS3DataType
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s3DataTypeAsString
public final String s3DataTypeAsString()
The data type.
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If you choose
S3Prefix,S3Uriidentifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.The
S3Prefixshould have the following format:s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE -
If you choose
ManifestFile,S3Uriidentifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.A
ManifestFileshould have the format shown below:[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1","DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ] -
If you choose
AugmentedManifestFile,S3Uriidentifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training.AugmentedManifestFileis available for V2 API jobs only (for example, for jobs created by callingCreateAutoMLJobV2).Here is a minimal, single-record example of an
AugmentedManifestFile:{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg","label-metadata": {"class-name": "cat"For more information on
AugmentedManifestFile, see Provide Dataset Metadata to Training Jobs with an Augmented Manifest File.
If the service returns an enum value that is not available in the current SDK version,
s3DataTypewill returnAutoMLS3DataType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available froms3DataTypeAsString().- Returns:
- The data type.
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If you choose
S3Prefix,S3Uriidentifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.The
S3Prefixshould have the following format:s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE -
If you choose
ManifestFile,S3Uriidentifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.A
ManifestFileshould have the format shown below:[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1","DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ] -
If you choose
AugmentedManifestFile,S3Uriidentifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training.AugmentedManifestFileis available for V2 API jobs only (for example, for jobs created by callingCreateAutoMLJobV2).Here is a minimal, single-record example of an
AugmentedManifestFile:{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg","label-metadata": {"class-name": "cat"For more information on
AugmentedManifestFile, see Provide Dataset Metadata to Training Jobs with an Augmented Manifest File.
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- See Also:
AutoMLS3DataType
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s3Uri
public final String s3Uri()
The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the data type.
- Returns:
- The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the data type.
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toBuilder
public AutoMLS3DataSource.Builder toBuilder()
- Specified by:
toBuilderin interfaceToCopyableBuilder<AutoMLS3DataSource.Builder,AutoMLS3DataSource>
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builder
public static AutoMLS3DataSource.Builder builder()
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serializableBuilderClass
public static Class<? extends AutoMLS3DataSource.Builder> serializableBuilderClass()
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equalsBySdkFields
public final boolean equalsBySdkFields(Object obj)
- Specified by:
equalsBySdkFieldsin interfaceSdkPojo
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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.
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