Package software.amazon.awscdk.services.sagemaker

Interface CfnModelPackage.S3ModelDataSourceProperty

All Superinterfaces:

software.amazon.jsii.JsiiSerializable

All Known Implementing Classes:

CfnModelPackage.S3ModelDataSourceProperty.Jsii$Proxy

Enclosing class:

CfnModelPackage

@Stability(Stable)
public static interface CfnModelPackage.S3ModelDataSourceProperty
extends software.amazon.jsii.JsiiSerializable

Specifies the S3 location of ML model data to deploy.

Example:

 // The code below shows an example of how to instantiate this type.
 // The values are placeholders you should change.
 import software.amazon.awscdk.services.sagemaker.*;
 S3ModelDataSourceProperty s3ModelDataSourceProperty = S3ModelDataSourceProperty.builder()
         .compressionType("compressionType")
         .s3DataType("s3DataType")
         .s3Uri("s3Uri")
         // the properties below are optional
         .modelAccessConfig(ModelAccessConfigProperty.builder()
                 .acceptEula(false)
                 .build())
         .build();
 

See Also:

• http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelpackage-s3modeldatasource.html

Nested Class Summary

Nested Classes

Modifier and Type	Interface	Description
static final class	CfnModelPackage.S3ModelDataSourceProperty.Builder	A builder for CfnModelPackage.S3ModelDataSourceProperty
static final class	CfnModelPackage.S3ModelDataSourceProperty.Jsii$Proxy	An implementation for CfnModelPackage.S3ModelDataSourceProperty

Method Summary

Modifier and Type	Method	Description
static CfnModelPackage.S3ModelDataSourceProperty.Builder	builder()
String	getCompressionType()	Specifies how the ML model data is prepared.
default Object	getModelAccessConfig()	Specifies the access configuration file for the ML model.
String	getS3DataType()	Specifies the type of ML model data to deploy.
String	getS3Uri()	Specifies the S3 path of ML model data to deploy.

Methods inherited from interface software.amazon.jsii.JsiiSerializable

$jsii$toJson

Method Details

getCompressionType

@Stability(Stable)
@NotNull
String getCompressionType()

Specifies how the ML model data is prepared.

If you choose Gzip and choose S3Object as the value of S3DataType , S3Uri identifies an object that is a gzip-compressed TAR archive. SageMaker will attempt to decompress and untar the object during model deployment.

If you choose None and chooose S3Object as the value of S3DataType , S3Uri identifies an object that represents an uncompressed ML model to deploy.

If you choose None and choose S3Prefix as the value of S3DataType , S3Uri identifies a key name prefix, under which all objects represents the uncompressed ML model to deploy.

If you choose None, then SageMaker will follow rules below when creating model data files under /opt/ml/model directory for use by your inference code:

• If you choose S3Object as the value of S3DataType , then SageMaker will split the key of the S3 object referenced by S3Uri by slash (/), and use the last part as the filename of the file holding the content of the S3 object.
• If you choose S3Prefix as the value of S3DataType , then for each S3 object under the key name pefix referenced by S3Uri , SageMaker will trim its key by the prefix, and use the remainder as the path (relative to /opt/ml/model ) of the file holding the content of the S3 object. SageMaker will split the remainder by slash (/), using intermediate parts as directory names and the last part as filename of the file holding the content of the S3 object.
• Do not use any of the following as file names or directory names:
• An empty or blank string
• A string which contains null bytes
• A string longer than 255 bytes
• A single dot ( . )
• A double dot ( .. )
• Ambiguous file names will result in model deployment failure. For example, if your uncompressed ML model consists of two S3 objects s3://mybucket/model/weights and s3://mybucket/model/weights/part1 and you specify s3://mybucket/model/ as the value of S3Uri and S3Prefix as the value of S3DataType , then it will result in name clash between /opt/ml/model/weights (a regular file) and /opt/ml/model/weights/ (a directory).
• Do not organize the model artifacts in S3 console using folders . When you create a folder in S3 console, S3 creates a 0-byte object with a key set to the folder name you provide. They key of the 0-byte object ends with a slash (/) which violates SageMaker restrictions on model artifact file names, leading to model deployment failure.

See Also:

• http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelpackage-s3modeldatasource.html#cfn-sagemaker-modelpackage-s3modeldatasource-compressiontype

getS3DataType

@Stability(Stable)
@NotNull
String getS3DataType()

Specifies the type of ML model data to deploy.

If you choose S3Prefix , S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix as part of the ML model data to deploy. A valid key name prefix identified by S3Uri always ends with a forward slash (/).

If you choose S3Object , S3Uri identifies an object that is the ML model data to deploy.

See Also:

• http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelpackage-s3modeldatasource.html#cfn-sagemaker-modelpackage-s3modeldatasource-s3datatype

getS3Uri

@Stability(Stable)
@NotNull
String getS3Uri()

Specifies the S3 path of ML model data to deploy.

See Also:

• http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelpackage-s3modeldatasource.html#cfn-sagemaker-modelpackage-s3modeldatasource-s3uri

getModelAccessConfig

@Stability(Stable)
@Nullable
default Object getModelAccessConfig()

Specifies the access configuration file for the ML model.

You can explicitly accept the model end-user license agreement (EULA) within the ModelAccessConfig . You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.

Returns union: either IResolvable or CfnModelPackage.ModelAccessConfigProperty

See Also:

• http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelpackage-s3modeldatasource.html#cfn-sagemaker-modelpackage-s3modeldatasource-modelaccessconfig

builder

@Stability(Stable)
static CfnModelPackage.S3ModelDataSourceProperty.Builder builder()

Returns:

a CfnModelPackage.S3ModelDataSourceProperty.Builder of CfnModelPackage.S3ModelDataSourceProperty