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aws-native.cleanroomsml.TrainingDataset
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AWS Native is in preview. AWS Classic is fully supported.
Definition of AWS::CleanRoomsML::TrainingDataset Resource Type
Create TrainingDataset Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new TrainingDataset(name: string, args: TrainingDatasetArgs, opts?: CustomResourceOptions);
@overload
def TrainingDataset(resource_name: str,
args: TrainingDatasetArgs,
opts: Optional[ResourceOptions] = None)
@overload
def TrainingDataset(resource_name: str,
opts: Optional[ResourceOptions] = None,
role_arn: Optional[str] = None,
training_data: Optional[Sequence[TrainingDatasetDatasetArgs]] = None,
description: Optional[str] = None,
name: Optional[str] = None,
tags: Optional[Sequence[_root_inputs.TagArgs]] = None)
func NewTrainingDataset(ctx *Context, name string, args TrainingDatasetArgs, opts ...ResourceOption) (*TrainingDataset, error)
public TrainingDataset(string name, TrainingDatasetArgs args, CustomResourceOptions? opts = null)
public TrainingDataset(String name, TrainingDatasetArgs args)
public TrainingDataset(String name, TrainingDatasetArgs args, CustomResourceOptions options)
type: aws-native:cleanroomsml:TrainingDataset
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args TrainingDatasetArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args TrainingDatasetArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args TrainingDatasetArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args TrainingDatasetArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args TrainingDatasetArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Example
The following reference example uses placeholder values for all input properties.
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const trainingDatasetResource = new aws_native.cleanroomsml.TrainingDataset("trainingDatasetResource", {
roleArn: "string",
trainingData: [{
inputConfig: {
dataSource: {
glueDataSource: {
databaseName: "string",
tableName: "string",
catalogId: "string",
},
},
schema: [{
columnName: "string",
columnTypes: [aws_native.cleanroomsml.TrainingDatasetColumnType.UserId],
}],
},
type: aws_native.cleanroomsml.TrainingDatasetDatasetType.Interactions,
}],
description: "string",
name: "string",
tags: [{
key: "string",
value: "string",
}],
});
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TrainingDataset Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The TrainingDataset resource accepts the following input properties:
- Role
Arn string - Training
Data List<Pulumi.Aws Native. Clean Rooms Ml. Inputs. Training Dataset Dataset> - Description string
- Name string
- List<Pulumi.
Aws Native. Inputs. Tag> - An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
- Role
Arn string - Training
Data []TrainingDataset Dataset Args - Description string
- Name string
- Tag
Args - An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
- role
Arn String - training
Data List<TrainingDataset Dataset> - description String
- name String
- List<Tag>
- An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
- role
Arn string - training
Data TrainingDataset Dataset[] - description string
- name string
- Tag[]
- An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
- role_
arn str - training_
data Sequence[TrainingDataset Dataset Args] - description str
- name str
- Sequence[Tag
Args] - An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
- role
Arn String - training
Data List<Property Map> - description String
- name String
- List<Property Map>
- An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
Outputs
All input properties are implicitly available as output properties. Additionally, the TrainingDataset resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Status
Pulumi.
Aws Native. Clean Rooms Ml. Training Dataset Status - Training
Dataset stringArn
- Id string
- The provider-assigned unique ID for this managed resource.
- Status
Training
Dataset Status - Training
Dataset stringArn
- id String
- The provider-assigned unique ID for this managed resource.
- status
Training
Dataset Status - training
Dataset StringArn
- id string
- The provider-assigned unique ID for this managed resource.
- status
Training
Dataset Status - training
Dataset stringArn
- id str
- The provider-assigned unique ID for this managed resource.
- status
Training
Dataset Status - training_
dataset_ strarn
- id String
- The provider-assigned unique ID for this managed resource.
- status "ACTIVE"
- training
Dataset StringArn
Supporting Types
Tag, TagArgs
TrainingDatasetColumnSchema, TrainingDatasetColumnSchemaArgs
TrainingDatasetColumnType, TrainingDatasetColumnTypeArgs
- User
Id - USER_ID
- Item
Id - ITEM_ID
- Timestamp
- TIMESTAMP
- Categorical
Feature - CATEGORICAL_FEATURE
- Numerical
Feature - NUMERICAL_FEATURE
- Training
Dataset Column Type User Id - USER_ID
- Training
Dataset Column Type Item Id - ITEM_ID
- Training
Dataset Column Type Timestamp - TIMESTAMP
- Training
Dataset Column Type Categorical Feature - CATEGORICAL_FEATURE
- Training
Dataset Column Type Numerical Feature - NUMERICAL_FEATURE
- User
Id - USER_ID
- Item
Id - ITEM_ID
- Timestamp
- TIMESTAMP
- Categorical
Feature - CATEGORICAL_FEATURE
- Numerical
Feature - NUMERICAL_FEATURE
- User
Id - USER_ID
- Item
Id - ITEM_ID
- Timestamp
- TIMESTAMP
- Categorical
Feature - CATEGORICAL_FEATURE
- Numerical
Feature - NUMERICAL_FEATURE
- USER_ID
- USER_ID
- ITEM_ID
- ITEM_ID
- TIMESTAMP
- TIMESTAMP
- CATEGORICAL_FEATURE
- CATEGORICAL_FEATURE
- NUMERICAL_FEATURE
- NUMERICAL_FEATURE
- "USER_ID"
- USER_ID
- "ITEM_ID"
- ITEM_ID
- "TIMESTAMP"
- TIMESTAMP
- "CATEGORICAL_FEATURE"
- CATEGORICAL_FEATURE
- "NUMERICAL_FEATURE"
- NUMERICAL_FEATURE
TrainingDatasetDataSource, TrainingDatasetDataSourceArgs
TrainingDatasetDataset, TrainingDatasetDatasetArgs
TrainingDatasetDatasetInputConfig, TrainingDatasetDatasetInputConfigArgs
TrainingDatasetDatasetType, TrainingDatasetDatasetTypeArgs
- Interactions
- INTERACTIONS
- Training
Dataset Dataset Type Interactions - INTERACTIONS
- Interactions
- INTERACTIONS
- Interactions
- INTERACTIONS
- INTERACTIONS
- INTERACTIONS
- "INTERACTIONS"
- INTERACTIONS
TrainingDatasetGlueDataSource, TrainingDatasetGlueDataSourceArgs
- Database
Name string - Table
Name string - Catalog
Id string
- Database
Name string - Table
Name string - Catalog
Id string
- database
Name String - table
Name String - catalog
Id String
- database
Name string - table
Name string - catalog
Id string
- database_
name str - table_
name str - catalog_
id str
- database
Name String - table
Name String - catalog
Id String
TrainingDatasetStatus, TrainingDatasetStatusArgs
- Active
- ACTIVE
- Training
Dataset Status Active - ACTIVE
- Active
- ACTIVE
- Active
- ACTIVE
- ACTIVE
- ACTIVE
- "ACTIVE"
- ACTIVE
Package Details
- Repository
- AWS Native pulumi/pulumi-aws-native
- License
- Apache-2.0
AWS Native is in preview. AWS Classic is fully supported.