sagemaker_create_trial_component: Creates a trial component, which is a stage of a machine...
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

sagemaker_create_trial_component

R Documentation

Creates a trial component, which is a stage of a machine learning trial

Description

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.

See https://www.paws-r-sdk.com/docs/sagemaker_create_trial_component/ for full documentation.

Usage

sagemaker_create_trial_component(
  TrialComponentName,
  DisplayName = NULL,
  Status = NULL,
  StartTime = NULL,
  EndTime = NULL,
  Parameters = NULL,
  InputArtifacts = NULL,
  OutputArtifacts = NULL,
  MetadataProperties = NULL,
  Tags = NULL
)

Arguments

`TrialComponentName`	[required] The name of the component. The name must be unique in your Amazon Web Services account and is not case-sensitive.
`DisplayName`	The name of the component as displayed. The name doesn't need to be unique. If `DisplayName` isn't specified, `TrialComponentName` is displayed.
`Status`	The status of the component. States include: InProgress Completed Failed
`StartTime`	When the component started.
`EndTime`	When the component ended.
`Parameters`	The hyperparameters for the component.
`InputArtifacts`	The input artifacts for the component. Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types.
`OutputArtifacts`	The output artifacts for the component. Examples of output artifacts are metrics, snapshots, logs, and images.
`MetadataProperties`
`Tags`	A list of tags to associate with the component. You can use `search` API to search on the tags.