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List Candidates For Auto Ml Job

sagemaker_list_candidates_for_auto_ml_job

R Documentation

List the candidates created for the job¶

Description¶

List the candidates created for the job.

Usage¶

sagemaker_list_candidates_for_auto_ml_job(AutoMLJobName, StatusEquals,
  CandidateNameEquals, SortOrder, SortBy, MaxResults, NextToken)

Arguments¶

AutoMLJobName: [required] List the candidates created for the job by providing the job's name.
StatusEquals: List the candidates for the job and filter by status.
CandidateNameEquals: List the candidates for the job and filter by candidate name.
SortOrder: The sort order for the results. The default is Ascending.
SortBy: The parameter by which to sort the results. The default is Descending.
MaxResults: List the job's candidates up to a specified limit.
NextToken: If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.

Value¶

A list with the following syntax:

list(
  Candidates = list(
    list(
      CandidateName = "string",
      FinalAutoMLJobObjectiveMetric = list(
        Type = "Maximize"|"Minimize",
        MetricName = "Accuracy"|"MSE"|"F1"|"F1macro"|"AUC"|"RMSE"|"BalancedAccuracy"|"R2"|"Recall"|"RecallMacro"|"Precision"|"PrecisionMacro"|"MAE"|"MAPE"|"MASE"|"WAPE"|"AverageWeightedQuantileLoss",
        Value = 123.0,
        StandardMetricName = "Accuracy"|"MSE"|"F1"|"F1macro"|"AUC"|"RMSE"|"BalancedAccuracy"|"R2"|"Recall"|"RecallMacro"|"Precision"|"PrecisionMacro"|"MAE"|"MAPE"|"MASE"|"WAPE"|"AverageWeightedQuantileLoss"
      ),
      ObjectiveStatus = "Succeeded"|"Pending"|"Failed",
      CandidateSteps = list(
        list(
          CandidateStepType = "AWS::SageMaker::TrainingJob"|"AWS::SageMaker::TransformJob"|"AWS::SageMaker::ProcessingJob",
          CandidateStepArn = "string",
          CandidateStepName = "string"
        )
      ),
      CandidateStatus = "Completed"|"InProgress"|"Failed"|"Stopped"|"Stopping",
      InferenceContainers = list(
        list(
          Image = "string",
          ModelDataUrl = "string",
          Environment = list(
            "string"
          )
        )
      ),
      CreationTime = as.POSIXct(
        "2015-01-01"
      ),
      EndTime = as.POSIXct(
        "2015-01-01"
      ),
      LastModifiedTime = as.POSIXct(
        "2015-01-01"
      ),
      FailureReason = "string",
      CandidateProperties = list(
        CandidateArtifactLocations = list(
          Explainability = "string",
          ModelInsights = "string",
          BacktestResults = "string"
        ),
        CandidateMetrics = list(
          list(
            MetricName = "Accuracy"|"MSE"|"F1"|"F1macro"|"AUC"|"RMSE"|"BalancedAccuracy"|"R2"|"Recall"|"RecallMacro"|"Precision"|"PrecisionMacro"|"MAE"|"MAPE"|"MASE"|"WAPE"|"AverageWeightedQuantileLoss",
            Value = 123.0,
            Set = "Train"|"Validation"|"Test",
            StandardMetricName = "Accuracy"|"MSE"|"F1"|"F1macro"|"AUC"|"RMSE"|"MAE"|"R2"|"BalancedAccuracy"|"Precision"|"PrecisionMacro"|"Recall"|"RecallMacro"|"LogLoss"|"InferenceLatency"|"MAPE"|"MASE"|"WAPE"|"AverageWeightedQuantileLoss"|"Rouge1"|"Rouge2"|"RougeL"|"RougeLSum"|"Perplexity"|"ValidationLoss"|"TrainingLoss"
          )
        )
      ),
      InferenceContainerDefinitions = list(
        list(
          list(
            Image = "string",
            ModelDataUrl = "string",
            Environment = list(
              "string"
            )
          )
        )
      )
    )
  ),
  NextToken = "string"
)

Request syntax¶

svc$list_candidates_for_auto_ml_job(
  AutoMLJobName = "string",
  StatusEquals = "Completed"|"InProgress"|"Failed"|"Stopped"|"Stopping",
  CandidateNameEquals = "string",
  SortOrder = "Ascending"|"Descending",
  SortBy = "CreationTime"|"Status"|"FinalObjectiveMetricValue",
  MaxResults = 123,
  NextToken = "string"
)