sagemaker_list_inference_recommendations_jobs: Lists recommendation jobs that satisfy various filters

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Lists recommendation jobs that satisfy various filters

Description

Lists recommendation jobs that satisfy various filters.

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

Usage

sagemaker_list_inference_recommendations_jobs(
  CreationTimeAfter = NULL,
  CreationTimeBefore = NULL,
  LastModifiedTimeAfter = NULL,
  LastModifiedTimeBefore = NULL,
  NameContains = NULL,
  StatusEquals = NULL,
  SortBy = NULL,
  SortOrder = NULL,
  NextToken = NULL,
  MaxResults = NULL,
  ModelNameEquals = NULL,
  ModelPackageVersionArnEquals = NULL
)

Arguments

CreationTimeAfter	A filter that returns only jobs created after the specified time (timestamp).
CreationTimeBefore	A filter that returns only jobs created before the specified time (timestamp).
LastModifiedTimeAfter	A filter that returns only jobs that were last modified after the specified time (timestamp).
LastModifiedTimeBefore	A filter that returns only jobs that were last modified before the specified time (timestamp).
NameContains	A string in the job name. This filter returns only recommendations whose name contains the specified string.
StatusEquals	A filter that retrieves only inference recommendations jobs with a specific status.
SortBy	The parameter by which to sort the results.
SortOrder	The sort order for the results.
NextToken	If the response to a previous ListInferenceRecommendationsJobsRequest request was truncated, the response includes a NextToken. To retrieve the next set of recommendations, use the token in the next request.
MaxResults	The maximum number of recommendations to return in the response.
ModelNameEquals	A filter that returns only jobs that were created for this model.
ModelPackageVersionArnEquals	A filter that returns only jobs that were created for this versioned model package.

paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.