Describe Solution

personalize_describe_solution

R Documentation

Describes a solution

Description

Describes a solution. For more information on solutions, see create_solution.

Usage

personalize_describe_solution(solutionArn)

Arguments

solutionArn

[required] The Amazon Resource Name (ARN) of the solution to describe.

Value

A list with the following syntax:

list(
  solution = list(
    name = "string",
    solutionArn = "string",
    performHPO = TRUE|FALSE,
    performAutoML = TRUE|FALSE,
    performAutoTraining = TRUE|FALSE,
    recipeArn = "string",
    datasetGroupArn = "string",
    eventType = "string",
    solutionConfig = list(
      eventValueThreshold = "string",
      hpoConfig = list(
        hpoObjective = list(
          type = "string",
          metricName = "string",
          metricRegex = "string"
        ),
        hpoResourceConfig = list(
          maxNumberOfTrainingJobs = "string",
          maxParallelTrainingJobs = "string"
        ),
        algorithmHyperParameterRanges = list(
          integerHyperParameterRanges = list(
            list(
              name = "string",
              minValue = 123,
              maxValue = 123
            )
          ),
          continuousHyperParameterRanges = list(
            list(
              name = "string",
              minValue = 123.0,
              maxValue = 123.0
            )
          ),
          categoricalHyperParameterRanges = list(
            list(
              name = "string",
              values = list(
                "string"
              )
            )
          )
        )
      ),
      algorithmHyperParameters = list(
        "string"
      ),
      featureTransformationParameters = list(
        "string"
      ),
      autoMLConfig = list(
        metricName = "string",
        recipeList = list(
          "string"
        )
      ),
      optimizationObjective = list(
        itemAttribute = "string",
        objectiveSensitivity = "LOW"|"MEDIUM"|"HIGH"|"OFF"
      ),
      trainingDataConfig = list(
        excludedDatasetColumns = list(
          list(
            "string"
          )
        )
      ),
      autoTrainingConfig = list(
        schedulingExpression = "string"
      )
    ),
    autoMLResult = list(
      bestRecipeArn = "string"
    ),
    status = "string",
    creationDateTime = as.POSIXct(
      "2015-01-01"
    ),
    lastUpdatedDateTime = as.POSIXct(
      "2015-01-01"
    ),
    latestSolutionVersion = list(
      solutionVersionArn = "string",
      status = "string",
      trainingMode = "FULL"|"UPDATE"|"AUTOTRAIN",
      trainingType = "AUTOMATIC"|"MANUAL",
      creationDateTime = as.POSIXct(
        "2015-01-01"
      ),
      lastUpdatedDateTime = as.POSIXct(
        "2015-01-01"
      ),
      failureReason = "string"
    ),
    latestSolutionUpdate = list(
      solutionUpdateConfig = list(
        autoTrainingConfig = list(
          schedulingExpression = "string"
        )
      ),
      status = "string",
      performAutoTraining = TRUE|FALSE,
      creationDateTime = as.POSIXct(
        "2015-01-01"
      ),
      lastUpdatedDateTime = as.POSIXct(
        "2015-01-01"
      ),
      failureReason = "string"
    )
  )
)

Request syntax

svc$describe_solution(
  solutionArn = "string"
)