@Generated(value="software.amazon.awssdk:codegen") public final class AutoMLS3DataSource extends Object implements SdkPojo, Serializable, ToCopyableBuilder<AutoMLS3DataSource.Builder,AutoMLS3DataSource>
Describes the Amazon S3 data source.
| Modifier and Type | Class and Description |
|---|---|
static interface |
AutoMLS3DataSource.Builder |
| Modifier and Type | Method and Description |
|---|---|
static AutoMLS3DataSource.Builder |
builder() |
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
AutoMLS3DataType |
s3DataType()
The data type.
|
String |
s3DataTypeAsString()
The data type.
|
String |
s3Uri()
The URL to the Amazon S3 data source.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends AutoMLS3DataSource.Builder> |
serializableBuilderClass() |
AutoMLS3DataSource.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
clone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final AutoMLS3DataType s3DataType()
The data type.
If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects
that match the specified key name prefix for model training.
The S3Prefix should have the following format:
s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE
If you choose ManifestFile, S3Uri identifies an object that is a manifest file
containing a list of object keys that you want SageMaker to use for model training.
A ManifestFile should 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, S3Uri identifies an object that is an augmented
manifest file in JSON lines format. This file contains the data you want to use for model training.
AugmentedManifestFile is available for V2 API jobs only (for example, for jobs created by calling
CreateAutoMLJobV2).
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, s3DataType will
return AutoMLS3DataType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
s3DataTypeAsString().
If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all
objects that match the specified key name prefix for model training.
The S3Prefix should have the following format:
s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE
If you choose ManifestFile, S3Uri identifies an object that is a manifest file
containing a list of object keys that you want SageMaker to use for model training.
A ManifestFile should 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, S3Uri identifies an object that is an
augmented manifest file in JSON lines format. This file contains the data you want to use for model
training. AugmentedManifestFile is available for V2 API jobs only (for example, for jobs
created by calling CreateAutoMLJobV2).
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.
AutoMLS3DataTypepublic final String s3DataTypeAsString()
The data type.
If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects
that match the specified key name prefix for model training.
The S3Prefix should have the following format:
s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE
If you choose ManifestFile, S3Uri identifies an object that is a manifest file
containing a list of object keys that you want SageMaker to use for model training.
A ManifestFile should 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, S3Uri identifies an object that is an augmented
manifest file in JSON lines format. This file contains the data you want to use for model training.
AugmentedManifestFile is available for V2 API jobs only (for example, for jobs created by calling
CreateAutoMLJobV2).
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, s3DataType will
return AutoMLS3DataType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
s3DataTypeAsString().
If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all
objects that match the specified key name prefix for model training.
The S3Prefix should have the following format:
s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE
If you choose ManifestFile, S3Uri identifies an object that is a manifest file
containing a list of object keys that you want SageMaker to use for model training.
A ManifestFile should 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, S3Uri identifies an object that is an
augmented manifest file in JSON lines format. This file contains the data you want to use for model
training. AugmentedManifestFile is available for V2 API jobs only (for example, for jobs
created by calling CreateAutoMLJobV2).
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.
AutoMLS3DataTypepublic 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.
public AutoMLS3DataSource.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<AutoMLS3DataSource.Builder,AutoMLS3DataSource>public static AutoMLS3DataSource.Builder builder()
public static Class<? extends AutoMLS3DataSource.Builder> serializableBuilderClass()
public final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
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