aws_sdk_sagemaker/operation/create_experiment/
builders.rs

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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_experiment::_create_experiment_output::CreateExperimentOutputBuilder;

pub use crate::operation::create_experiment::_create_experiment_input::CreateExperimentInputBuilder;

impl crate::operation::create_experiment::builders::CreateExperimentInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::create_experiment::CreateExperimentOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_experiment::CreateExperimentError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_experiment();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateExperiment`.
///
/// <p>Creates a SageMaker <i>experiment</i>. An experiment is a collection of <i>trials</i> that are observed, compared and evaluated as a group. A trial is a set of steps, called <i>trial components</i>, that produce a machine learning model.</p><note>
/// <p>In the Studio UI, trials are referred to as <i>run groups</i> and trial components are referred to as <i>runs</i>.</p>
/// </note>
/// <p>The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.</p>
/// <p>When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.</p>
/// <p>You can add tags to experiments, trials, trial components and then use the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Search.html">Search</a> API to search for the tags.</p>
/// <p>To add a description to an experiment, specify the optional <code>Description</code> parameter. To add a description later, or to change the description, call the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateExperiment.html">UpdateExperiment</a> API.</p>
/// <p>To get a list of all your experiments, call the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListExperiments.html">ListExperiments</a> API. To view an experiment's properties, call the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeExperiment.html">DescribeExperiment</a> API. To get a list of all the trials associated with an experiment, call the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListTrials.html">ListTrials</a> API. To create a trial call the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrial.html">CreateTrial</a> API.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateExperimentFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_experiment::builders::CreateExperimentInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::create_experiment::CreateExperimentOutput,
        crate::operation::create_experiment::CreateExperimentError,
    > for CreateExperimentFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::create_experiment::CreateExperimentOutput,
            crate::operation::create_experiment::CreateExperimentError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl CreateExperimentFluentBuilder {
    /// Creates a new `CreateExperimentFluentBuilder`.
    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: ::std::default::Default::default(),
            config_override: ::std::option::Option::None,
        }
    }
    /// Access the CreateExperiment as a reference.
    pub fn as_input(&self) -> &crate::operation::create_experiment::builders::CreateExperimentInputBuilder {
        &self.inner
    }
    /// 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](aws_smithy_types::retry::RetryConfig), which can be
    /// set when configuring the client.
    pub async fn send(
        self,
    ) -> ::std::result::Result<
        crate::operation::create_experiment::CreateExperimentOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_experiment::CreateExperimentError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let input = self
            .inner
            .build()
            .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
        let runtime_plugins = crate::operation::create_experiment::CreateExperiment::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::create_experiment::CreateExperiment::orchestrate(&runtime_plugins, input).await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being sent.
    pub fn customize(
        self,
    ) -> crate::client::customize::CustomizableOperation<
        crate::operation::create_experiment::CreateExperimentOutput,
        crate::operation::create_experiment::CreateExperimentError,
        Self,
    > {
        crate::client::customize::CustomizableOperation::new(self)
    }
    pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
        self.set_config_override(::std::option::Option::Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// <p>The name of the experiment. The name must be unique in your Amazon Web Services account and is not case-sensitive.</p>
    pub fn experiment_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.experiment_name(input.into());
        self
    }
    /// <p>The name of the experiment. The name must be unique in your Amazon Web Services account and is not case-sensitive.</p>
    pub fn set_experiment_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_experiment_name(input);
        self
    }
    /// <p>The name of the experiment. The name must be unique in your Amazon Web Services account and is not case-sensitive.</p>
    pub fn get_experiment_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_experiment_name()
    }
    /// <p>The name of the experiment as displayed. The name doesn't need to be unique. If you don't specify <code>DisplayName</code>, the value in <code>ExperimentName</code> is displayed.</p>
    pub fn display_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.display_name(input.into());
        self
    }
    /// <p>The name of the experiment as displayed. The name doesn't need to be unique. If you don't specify <code>DisplayName</code>, the value in <code>ExperimentName</code> is displayed.</p>
    pub fn set_display_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_display_name(input);
        self
    }
    /// <p>The name of the experiment as displayed. The name doesn't need to be unique. If you don't specify <code>DisplayName</code>, the value in <code>ExperimentName</code> is displayed.</p>
    pub fn get_display_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_display_name()
    }
    /// <p>The description of the experiment.</p>
    pub fn description(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.description(input.into());
        self
    }
    /// <p>The description of the experiment.</p>
    pub fn set_description(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_description(input);
        self
    }
    /// <p>The description of the experiment.</p>
    pub fn get_description(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_description()
    }
    ///
    /// Appends an item to `Tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>A list of tags to associate with the experiment. You can use <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Search.html">Search</a> API to search on the tags.</p>
    pub fn tags(mut self, input: crate::types::Tag) -> Self {
        self.inner = self.inner.tags(input);
        self
    }
    /// <p>A list of tags to associate with the experiment. You can use <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Search.html">Search</a> API to search on the tags.</p>
    pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
        self.inner = self.inner.set_tags(input);
        self
    }
    /// <p>A list of tags to associate with the experiment. You can use <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Search.html">Search</a> API to search on the tags.</p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        self.inner.get_tags()
    }
}