Creates a trial component, which is a stage of a machine learning trial
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 Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS 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.
create_trial_component can only be
invoked from within an Amazon SageMaker managed environment. This
includes Amazon SageMaker training jobs, processing jobs, transform
jobs, and Amazon SageMaker notebooks. A call to
create_trial_component from
outside one of these environments results in an error.
sagemaker_create_trial_component(TrialComponentName, DisplayName, Status, StartTime, EndTime, Parameters, InputArtifacts, OutputArtifacts, MetadataProperties, Tags)
TrialComponentName |
[required] The name of the component. The name must be unique in your AWS account and is not case-sensitive. |
DisplayName |
The name of the component as displayed. The name doesn't need to be
unique. If |
Status |
The status of the component. States include:
|
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
|
A list with the following syntax:
list( TrialComponentArn = "string" )
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"
)
)
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