| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
S3DataSource |
S3DataSource.clone() |
S3DataSource |
DataSource.getS3DataSource()
The S3 location of the data source that is associated with a channel.
|
S3DataSource |
S3DataSource.withAttributeNames(Collection<String> attributeNames)
A list of one or more attribute names to use that are found in a specified augmented manifest file.
|
S3DataSource |
S3DataSource.withAttributeNames(String... attributeNames)
A list of one or more attribute names to use that are found in a specified augmented manifest file.
|
S3DataSource |
S3DataSource.withS3DataDistributionType(S3DataDistribution s3DataDistributionType)
If you want Amazon SageMaker to replicate the entire dataset on each ML compute instance that is launched for
model training, specify
FullyReplicated. |
S3DataSource |
S3DataSource.withS3DataDistributionType(String s3DataDistributionType)
If you want Amazon SageMaker to replicate the entire dataset on each ML compute instance that is launched for
model training, specify
FullyReplicated. |
S3DataSource |
S3DataSource.withS3DataType(S3DataType s3DataType)
If you choose
S3Prefix, S3Uri identifies a key name prefix. |
S3DataSource |
S3DataSource.withS3DataType(String s3DataType)
If you choose
S3Prefix, S3Uri identifies a key name prefix. |
S3DataSource |
S3DataSource.withS3Uri(String s3Uri)
Depending on the value specified for the
S3DataType, identifies either a key name prefix or a
manifest. |
| Modifier and Type | Method and Description |
|---|---|
void |
DataSource.setS3DataSource(S3DataSource s3DataSource)
The S3 location of the data source that is associated with a channel.
|
DataSource |
DataSource.withS3DataSource(S3DataSource s3DataSource)
The S3 location of the data source that is associated with a channel.
|
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