Interface CfnTrainingDatasetMixinProps
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
CfnTrainingDatasetMixinProps.Jsii$Proxy
@Generated(value="jsii-pacmak/1.127.0 (build 2117ad5)",
date="2026-03-11T13:19:56.926Z")
@Stability(Stable)
public interface CfnTrainingDatasetMixinProps
extends software.amazon.jsii.JsiiSerializable
Properties for CfnTrainingDatasetPropsMixin.
Example:
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import software.amazon.awscdk.cfnpropertymixins.services.cleanroomsml.*;
CfnTrainingDatasetMixinProps cfnTrainingDatasetMixinProps = CfnTrainingDatasetMixinProps.builder()
.description("description")
.name("name")
.roleArn("roleArn")
.tags(List.of(CfnTag.builder()
.key("key")
.value("value")
.build()))
.trainingData(List.of(DatasetProperty.builder()
.inputConfig(DatasetInputConfigProperty.builder()
.dataSource(DataSourceProperty.builder()
.glueDataSource(GlueDataSourceProperty.builder()
.catalogId("catalogId")
.databaseName("databaseName")
.tableName("tableName")
.build())
.build())
.schema(List.of(ColumnSchemaProperty.builder()
.columnName("columnName")
.columnTypes(List.of("columnTypes"))
.build()))
.build())
.type("type")
.build()))
.build();
- See Also:
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Nested Class Summary
Nested ClassesModifier and TypeInterfaceDescriptionstatic final classA builder forCfnTrainingDatasetMixinPropsstatic final classAn implementation forCfnTrainingDatasetMixinProps -
Method Summary
Modifier and TypeMethodDescriptionbuilder()default StringThe description of the training dataset.default StringgetName()The name of the training dataset.default StringThe ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in thedataSourcefield of each dataset.getTags()The optional metadata that you apply to the resource to help you categorize and organize them.default ObjectAn array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema.Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJson
-
Method Details
-
getDescription
The description of the training dataset.- See Also:
-
getName
The name of the training dataset.- See Also:
-
getRoleArn
The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in thedataSourcefield of each dataset.Passing a role across accounts is not allowed. If you pass a role that isn't in your account, you get an
AccessDeniedExceptionerror.- See Also:
-
getTags
The optional metadata that you apply to the resource to help you categorize and organize them.Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50.
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8.
- Maximum value length - 256 Unicode characters in UTF-8.
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : /
- See Also:
-
getTrainingData
An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema.You must provide a role that has read access to these tables.
Returns union: either
IResolvableor Listinvalid input: '<'eitherIResolvableorCfnTrainingDatasetPropsMixin.DatasetProperty>- See Also:
-
builder
-