Class ModelPackageContainerDefinition
- All Implemented Interfaces:
Serializable
,SdkPojo
,ToCopyableBuilder<ModelPackageContainerDefinition.Builder,
ModelPackageContainerDefinition>
Describes the Docker container for the model package.
- See Also:
-
Nested Class Summary
-
Method Summary
Modifier and TypeMethodDescriptionfinal AdditionalS3DataSource
The additional data source that is used during inference in the Docker container for your model package.builder()
final String
The DNS host name for the Docker container.The environment variables to set in the Docker container.final boolean
final boolean
equalsBySdkFields
(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final String
The machine learning framework of the model package container image.final String
The framework version of the Model Package Container Image.final <T> Optional
<T> getValueForField
(String fieldName, Class<T> clazz) final boolean
For responses, this returns true if the service returned a value for the Environment property.final int
hashCode()
final String
image()
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.final String
An MD5 hash of the training algorithm that identifies the Docker image used for training.final ModelDataSource
Specifies the location of ML model data to deploy during endpoint creation.final String
The Amazon S3 path where the model artifacts, which result from model training, are stored.final ModelInput
A structure with Model Input details.final String
The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model.final String
The Amazon Web Services Marketplace product ID of the model package.static Class
<? extends ModelPackageContainerDefinition.Builder> Take this object and create a builder that contains all of the current property values of this object.final String
toString()
Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
-
Method Details
-
containerHostname
The DNS host name for the Docker container.
- Returns:
- The DNS host name for the Docker container.
-
image
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both
registry/repository[:tag]
andregistry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.- Returns:
- The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both
registry/repository[:tag]
andregistry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
-
imageDigest
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- Returns:
- An MD5 hash of the training algorithm that identifies the Docker image used for training.
-
modelDataUrl
The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single
gzip
compressed tar archive (.tar.gz
suffix).The model artifacts must be in an S3 bucket that is in the same region as the model package.
- Returns:
- The Amazon S3 path where the model artifacts, which result from model training, are stored. This path
must point to a single
gzip
compressed tar archive (.tar.gz
suffix).The model artifacts must be in an S3 bucket that is in the same region as the model package.
-
modelDataSource
Specifies the location of ML model data to deploy during endpoint creation.
- Returns:
- Specifies the location of ML model data to deploy during endpoint creation.
-
productId
The Amazon Web Services Marketplace product ID of the model package.
- Returns:
- The Amazon Web Services Marketplace product ID of the model package.
-
hasEnvironment
public final boolean hasEnvironment()For responses, this returns true if the service returned a value for the Environment property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
environment
The environment variables to set in the Docker container. Each key and value in the
Environment
string to string map can have length of up to 1024. We support up to 16 entries in the map.Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasEnvironment()
method.- Returns:
- The environment variables to set in the Docker container. Each key and value in the
Environment
string to string map can have length of up to 1024. We support up to 16 entries in the map.
-
modelInput
A structure with Model Input details.
- Returns:
- A structure with Model Input details.
-
framework
The machine learning framework of the model package container image.
- Returns:
- The machine learning framework of the model package container image.
-
frameworkVersion
The framework version of the Model Package Container Image.
- Returns:
- The framework version of the Model Package Container Image.
-
nearestModelName
The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling
ListModelMetadata
.- Returns:
- The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model
that matches your model. You can find a list of benchmarked models by calling
ListModelMetadata
.
-
additionalS3DataSource
The additional data source that is used during inference in the Docker container for your model package.
- Returns:
- The additional data source that is used during inference in the Docker container for your model package.
-
toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in interfaceToCopyableBuilder<ModelPackageContainerDefinition.Builder,
ModelPackageContainerDefinition> - Returns:
- a builder for type T
-
builder
-
serializableBuilderClass
-
hashCode
public final int hashCode() -
equals
-
equalsBySdkFields
Description copied from interface:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in interfaceSdkPojo
- Parameters:
obj
- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
-
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. -
getValueForField
-
sdkFields
-