Struct aws_sdk_personalize::operation::create_dataset::builders::CreateDatasetFluentBuilder

pub struct CreateDatasetFluentBuilder { /* private fields */ }

Fluent builder constructing a request to CreateDataset.

Creates an empty dataset and adds it to the specified dataset group. Use CreateDatasetImportJob to import your training data to a dataset.

There are three types of datasets:

• Interactions

• Items

• Users

Each dataset type has an associated schema with required field types. Only the Interactions dataset is required in order to train a model (also referred to as creating a solution).

A dataset can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

• DELETE PENDING > DELETE IN_PROGRESS

To get the status of the dataset, call DescribeDataset.

Related APIs

• CreateDatasetGroup

• ListDatasets

• DescribeDataset

• DeleteDataset

Implementations

impl CreateDatasetFluentBuilder

pub fn as_input(&self) -> &CreateDatasetInputBuilder

Access the CreateDataset as a reference.

pub async fn send( self ) -> Result<CreateDatasetOutput, SdkError<CreateDatasetError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn customize( self ) -> CustomizableOperation<CreateDatasetOutput, CreateDatasetError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

pub fn name(self, input: impl Into<String>) -> Self

The name for the dataset.

pub fn set_name(self, input: Option<String>) -> Self

The name for the dataset.

pub fn get_name(&self) -> &Option<String>

The name for the dataset.

pub fn schema_arn(self, input: impl Into<String>) -> Self

The ARN of the schema to associate with the dataset. The schema defines the dataset fields.

pub fn set_schema_arn(self, input: Option<String>) -> Self

The ARN of the schema to associate with the dataset. The schema defines the dataset fields.

pub fn get_schema_arn(&self) -> &Option<String>

The ARN of the schema to associate with the dataset. The schema defines the dataset fields.

pub fn dataset_group_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the dataset group to add the dataset to.

pub fn set_dataset_group_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the dataset group to add the dataset to.

pub fn get_dataset_group_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the dataset group to add the dataset to.

pub fn dataset_type(self, input: impl Into<String>) -> Self

The type of dataset.

One of the following (case insensitive) values:

• Interactions

• Items

• Users

pub fn set_dataset_type(self, input: Option<String>) -> Self

The type of dataset.

One of the following (case insensitive) values:

• Interactions

• Items

• Users

pub fn get_dataset_type(&self) -> &Option<String>

The type of dataset.

One of the following (case insensitive) values:

• Interactions

• Items

• Users

pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

A list of tags to apply to the dataset.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

A list of tags to apply to the dataset.

pub fn get_tags(&self) -> &Option<Vec<Tag>>

A list of tags to apply to the dataset.

Trait Implementations

impl Clone for CreateDatasetFluentBuilder

fn clone(&self) -> CreateDatasetFluentBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateDatasetFluentBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.