AlgorithmInferenceSpecificationContainer class
Constructors
-
AlgorithmInferenceSpecificationContainer({Input<
AlgorithmInferenceSpecificationContainerAdditionalS3DataSource?> ? additionalS3DataSource, Input<AlgorithmInferenceSpecificationContainerBaseModel?> ? baseModel, Input<String?> ? containerHostname, Input<Map< ? environment, Input<String, String> ?>String?> ? framework, Input<String?> ? frameworkVersion, Input<String?> ? image, Input<String?> ? imageDigest, Input<bool?> ? isCheckpoint, Input<String?> ? modelDataEtag, Input<AlgorithmInferenceSpecificationContainerModelDataSource?> ? modelDataSource, Input<String?> ? modelDataUrl, Input<AlgorithmInferenceSpecificationContainerModelInput?> ? modelInput, Input<String?> ? nearestModelName, Input<String?> ? productId}) -
Creates a new AlgorithmInferenceSpecificationContainer.
additionalS3DataSourceAdditional model data to make available to the container. See Additional S3 Data Source.baseModelBase model information for the container. See Base Model.containerHostnameDNS host name for the container.environmentEnvironment variables to pass to the container.frameworkMachine learning framework in the container image.frameworkVersionFramework version in the container image.imageContainer image URI.imageDigestDigest of the container image.isCheckpointWhether the container is used as a checkpoint container.modelDataEtagETag formodelDataUrl.modelDataSourceSource of model data for the container. See Model Data Source.modelDataUrlS3 or HTTPS URL of the model artifacts.modelInputAdditional model input configuration. See Model Input.nearestModelNameName of a pre-existing model nearest to the one being created.productIdAWS Marketplace product ID.const -
AlgorithmInferenceSpecificationContainer.fromMap(Map<
String, dynamic> map) -
factory
Properties
-
additionalS3DataSource
→ Input<
AlgorithmInferenceSpecificationContainerAdditionalS3DataSource?> ? -
Additional model data to make available to the container. See Additional S3 Data Source.
final
-
baseModel
→ Input<
AlgorithmInferenceSpecificationContainerBaseModel?> ? -
Base model information for the container. See Base Model.
final
-
containerHostname
→ Input<
String?> ? -
DNS host name for the container.
final
-
environment
→ Input<
Map< ?String, String> ?> -
Environment variables to pass to the container.
final
-
framework
→ Input<
String?> ? -
Machine learning framework in the container image.
final
-
frameworkVersion
→ Input<
String?> ? -
Framework version in the container image.
final
- hashCode → int
-
The hash code for this object.
no setterinherited
-
image
→ Input<
String?> ? -
Container image URI.
final
-
imageDigest
→ Input<
String?> ? -
Digest of the container image.
final
-
isCheckpoint
→ Input<
bool?> ? -
Whether the container is used as a checkpoint container.
final
-
modelDataEtag
→ Input<
String?> ? -
ETag for
modelDataUrl.final -
modelDataSource
→ Input<
AlgorithmInferenceSpecificationContainerModelDataSource?> ? -
Source of model data for the container. See Model Data Source.
final
-
modelDataUrl
→ Input<
String?> ? -
S3 or HTTPS URL of the model artifacts.
final
-
modelInput
→ Input<
AlgorithmInferenceSpecificationContainerModelInput?> ? -
Additional model input configuration. See Model Input.
final
-
nearestModelName
→ Input<
String?> ? -
Name of a pre-existing model nearest to the one being created.
final
-
productId
→ Input<
String?> ? -
AWS Marketplace product ID.
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toMap(
) → Map< String, dynamic> -
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited