// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
impl super::Client {
    /// Constructs a fluent builder for the [`CreateTrainingDataset`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder) operation.
    ///
    /// - The fluent builder is configurable:
    ///   - [`name(impl Into<String>)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::name) / [`set_name(Option<String>)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::set_name):<br>required: **true**<br><p>The name of the training dataset. This name must be unique in your account and region.</p><br>
    ///   - [`role_arn(impl Into<String>)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::role_arn) / [`set_role_arn(Option<String>)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::set_role_arn):<br>required: **true**<br><p>The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the <code>dataSource</code> field of each dataset.</p> <p>Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an <code>AccessDeniedException</code> error.</p><br>
    ///   - [`training_data(Dataset)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::training_data) / [`set_training_data(Option<Vec::<Dataset>>)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::set_training_data):<br>required: **true**<br><p>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.</p><br>
    ///   - [`tags(impl Into<String>, impl Into<String>)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::tags) / [`set_tags(Option<HashMap::<String, String>>)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::set_tags):<br>required: **false**<br><p>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.</p> <p>The following basic restrictions apply to tags:</p> <ul>  <li>   <p>Maximum number of tags per resource - 50.</p></li>  <li>   <p>For each resource, each tag key must be unique, and each tag key can have only one value.</p></li>  <li>   <p>Maximum key length - 128 Unicode characters in UTF-8.</p></li>  <li>   <p>Maximum value length - 256 Unicode characters in UTF-8.</p></li>  <li>   <p>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: + - = . _ : / @.</p></li>  <li>   <p>Tag keys and values are case sensitive.</p></li>  <li>   <p>Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.</p></li> </ul><br>
    ///   - [`description(impl Into<String>)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::description) / [`set_description(Option<String>)`](crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::set_description):<br>required: **false**<br><p>The description of the training dataset.</p><br>
    /// - On success, responds with [`CreateTrainingDatasetOutput`](crate::operation::create_training_dataset::CreateTrainingDatasetOutput) with field(s):
    ///   - [`training_dataset_arn(String)`](crate::operation::create_training_dataset::CreateTrainingDatasetOutput::training_dataset_arn): <p>The Amazon Resource Name (ARN) of the training dataset resource.</p>
    /// - On failure, responds with [`SdkError<CreateTrainingDatasetError>`](crate::operation::create_training_dataset::CreateTrainingDatasetError)
    pub fn create_training_dataset(&self) -> crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder {
        crate::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder::new(self.handle.clone())
    }
}