pub struct CreateTrialComponent { /* private fields */ }
Expand description

Fluent builder constructing a request to CreateTrialComponent.

Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.

Trial components include pre-processing jobs, training jobs, and batch transform jobs.

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.

You can add tags to a trial component and then use the Search API to search for the tags.

Implementations

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.

The name of the component. The name must be unique in your Amazon Web Services account and is not case-sensitive.

The name of the component. The name must be unique in your Amazon Web Services account and is not case-sensitive.

The name of the component as displayed. The name doesn't need to be unique. If DisplayName isn't specified, TrialComponentName is displayed.

The name of the component as displayed. The name doesn't need to be unique. If DisplayName isn't specified, TrialComponentName is displayed.

The status of the component. States include:

  • InProgress

  • Completed

  • Failed

The status of the component. States include:

  • InProgress

  • Completed

  • Failed

When the component started.

When the component started.

When the component ended.

When the component ended.

Adds a key-value pair to Parameters.

To override the contents of this collection use set_parameters.

The hyperparameters for the component.

The hyperparameters for the component.

Adds a key-value pair to InputArtifacts.

To override the contents of this collection use set_input_artifacts.

The input artifacts for the component. Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types.

The input artifacts for the component. Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types.

Adds a key-value pair to OutputArtifacts.

To override the contents of this collection use set_output_artifacts.

The output artifacts for the component. Examples of output artifacts are metrics, snapshots, logs, and images.

The output artifacts for the component. Examples of output artifacts are metrics, snapshots, logs, and images.

Metadata properties of the tracking entity, trial, or trial component.

Metadata properties of the tracking entity, trial, or trial component.

Appends an item to Tags.

To override the contents of this collection use set_tags.

A list of tags to associate with the component. You can use Search API to search on the tags.

A list of tags to associate with the component. You can use Search API to search on the tags.

Trait Implementations

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