Describe Model

lookoutequipment_describe_model

R Documentation

Provides a JSON containing the overall information about a specific machine learning model, including model name and ARN, dataset, training and evaluation information, status, and so on

Description

Provides a JSON containing the overall information about a specific machine learning model, including model name and ARN, dataset, training and evaluation information, status, and so on.

Usage

lookoutequipment_describe_model(ModelName)

Arguments

ModelName

[required] The name of the machine learning model to be described.

Value

A list with the following syntax:

list(
  ModelName = "string",
  ModelArn = "string",
  DatasetName = "string",
  DatasetArn = "string",
  Schema = "string",
  LabelsInputConfiguration = list(
    S3InputConfiguration = list(
      Bucket = "string",
      Prefix = "string"
    ),
    LabelGroupName = "string"
  ),
  TrainingDataStartTime = as.POSIXct(
    "2015-01-01"
  ),
  TrainingDataEndTime = as.POSIXct(
    "2015-01-01"
  ),
  EvaluationDataStartTime = as.POSIXct(
    "2015-01-01"
  ),
  EvaluationDataEndTime = as.POSIXct(
    "2015-01-01"
  ),
  RoleArn = "string",
  DataPreProcessingConfiguration = list(
    TargetSamplingRate = "PT1S"|"PT5S"|"PT10S"|"PT15S"|"PT30S"|"PT1M"|"PT5M"|"PT10M"|"PT15M"|"PT30M"|"PT1H"
  ),
  Status = "IN_PROGRESS"|"SUCCESS"|"FAILED"|"IMPORT_IN_PROGRESS",
  TrainingExecutionStartTime = as.POSIXct(
    "2015-01-01"
  ),
  TrainingExecutionEndTime = as.POSIXct(
    "2015-01-01"
  ),
  FailedReason = "string",
  ModelMetrics = "string",
  LastUpdatedTime = as.POSIXct(
    "2015-01-01"
  ),
  CreatedAt = as.POSIXct(
    "2015-01-01"
  ),
  ServerSideKmsKeyId = "string",
  OffCondition = "string",
  SourceModelVersionArn = "string",
  ImportJobStartTime = as.POSIXct(
    "2015-01-01"
  ),
  ImportJobEndTime = as.POSIXct(
    "2015-01-01"
  ),
  ActiveModelVersion = 123,
  ActiveModelVersionArn = "string",
  ModelVersionActivatedAt = as.POSIXct(
    "2015-01-01"
  ),
  PreviousActiveModelVersion = 123,
  PreviousActiveModelVersionArn = "string",
  PreviousModelVersionActivatedAt = as.POSIXct(
    "2015-01-01"
  ),
  PriorModelMetrics = "string",
  LatestScheduledRetrainingFailedReason = "string",
  LatestScheduledRetrainingStatus = "IN_PROGRESS"|"SUCCESS"|"FAILED"|"IMPORT_IN_PROGRESS"|"CANCELED",
  LatestScheduledRetrainingModelVersion = 123,
  LatestScheduledRetrainingStartTime = as.POSIXct(
    "2015-01-01"
  ),
  LatestScheduledRetrainingAvailableDataInDays = 123,
  NextScheduledRetrainingStartDate = as.POSIXct(
    "2015-01-01"
  ),
  AccumulatedInferenceDataStartTime = as.POSIXct(
    "2015-01-01"
  ),
  AccumulatedInferenceDataEndTime = as.POSIXct(
    "2015-01-01"
  ),
  RetrainingSchedulerStatus = "PENDING"|"RUNNING"|"STOPPING"|"STOPPED",
  ModelDiagnosticsOutputConfiguration = list(
    S3OutputConfiguration = list(
      Bucket = "string",
      Prefix = "string"
    ),
    KmsKeyId = "string"
  ),
  ModelQuality = "QUALITY_THRESHOLD_MET"|"CANNOT_DETERMINE_QUALITY"|"POOR_QUALITY_DETECTED"
)

Request syntax

svc$describe_model(
  ModelName = "string"
)