Create Trial Component

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.

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.

Usage

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

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.

Value

A list with the following syntax:

list(
  TrialComponentArn = "string"
)

Request syntax

svc$create_trial_component(
  TrialComponentName = "string",
  DisplayName = "string",
  Status = list(
    PrimaryStatus = "InProgress"|"Completed"|"Failed"|"Stopping"|"Stopped",
    Message = "string"
  ),
  StartTime = as.POSIXct(
    "2015-01-01"
  ),
  EndTime = as.POSIXct(
    "2015-01-01"
  ),
  Parameters = list(
    list(
      StringValue = "string",
      NumberValue = 123.0
    )
  ),
  InputArtifacts = list(
    list(
      MediaType = "string",
      Value = "string"
    )
  ),
  OutputArtifacts = list(
    list(
      MediaType = "string",
      Value = "string"
    )
  ),
  MetadataProperties = list(
    CommitId = "string",
    Repository = "string",
    GeneratedBy = "string",
    ProjectId = "string"
  ),
  Tags = list(
    list(
      Key = "string",
      Value = "string"
    )
  )
)