Describe Model Versions

frauddetector_describe_model_versions

R Documentation

Gets all of the model versions for the specified model type or for the specified model type and model ID

Description

Gets all of the model versions for the specified model type or for the specified model type and model ID. You can also get details for a single, specified model version.

Usage

frauddetector_describe_model_versions(modelId, modelVersionNumber,
  modelType, nextToken, maxResults)

Arguments

modelId	The model ID.
modelVersionNumber	The model version number.
modelType	The model type.
nextToken	The next token from the previous results.
maxResults	The maximum number of results to return.

Value

A list with the following syntax:

list(
  modelVersionDetails = list(
    list(
      modelId = "string",
      modelType = "ONLINE_FRAUD_INSIGHTS"|"TRANSACTION_FRAUD_INSIGHTS"|"ACCOUNT_TAKEOVER_INSIGHTS",
      modelVersionNumber = "string",
      status = "string",
      trainingDataSource = "EXTERNAL_EVENTS"|"INGESTED_EVENTS",
      trainingDataSchema = list(
        modelVariables = list(
          "string"
        ),
        labelSchema = list(
          labelMapper = list(
            list(
              "string"
            )
          ),
          unlabeledEventsTreatment = "IGNORE"|"FRAUD"|"LEGIT"|"AUTO"
        )
      ),
      externalEventsDetail = list(
        dataLocation = "string",
        dataAccessRoleArn = "string"
      ),
      ingestedEventsDetail = list(
        ingestedEventsTimeWindow = list(
          startTime = "string",
          endTime = "string"
        )
      ),
      trainingResult = list(
        dataValidationMetrics = list(
          fileLevelMessages = list(
            list(
              title = "string",
              content = "string",
              type = "string"
            )
          ),
          fieldLevelMessages = list(
            list(
              fieldName = "string",
              identifier = "string",
              title = "string",
              content = "string",
              type = "string"
            )
          )
        ),
        trainingMetrics = list(
          auc = 123.0,
          metricDataPoints = list(
            list(
              fpr = 123.0,
              precision = 123.0,
              tpr = 123.0,
              threshold = 123.0
            )
          )
        ),
        variableImportanceMetrics = list(
          logOddsMetrics = list(
            list(
              variableName = "string",
              variableType = "string",
              variableImportance = 123.0
            )
          )
        )
      ),
      lastUpdatedTime = "string",
      createdTime = "string",
      arn = "string",
      trainingResultV2 = list(
        dataValidationMetrics = list(
          fileLevelMessages = list(
            list(
              title = "string",
              content = "string",
              type = "string"
            )
          ),
          fieldLevelMessages = list(
            list(
              fieldName = "string",
              identifier = "string",
              title = "string",
              content = "string",
              type = "string"
            )
          )
        ),
        trainingMetricsV2 = list(
          ofi = list(
            metricDataPoints = list(
              list(
                fpr = 123.0,
                precision = 123.0,
                tpr = 123.0,
                threshold = 123.0
              )
            ),
            modelPerformance = list(
              auc = 123.0,
              uncertaintyRange = list(
                lowerBoundValue = 123.0,
                upperBoundValue = 123.0
              )
            )
          ),
          tfi = list(
            metricDataPoints = list(
              list(
                fpr = 123.0,
                precision = 123.0,
                tpr = 123.0,
                threshold = 123.0
              )
            ),
            modelPerformance = list(
              auc = 123.0,
              uncertaintyRange = list(
                lowerBoundValue = 123.0,
                upperBoundValue = 123.0
              )
            )
          ),
          ati = list(
            metricDataPoints = list(
              list(
                cr = 123.0,
                adr = 123.0,
                threshold = 123.0,
                atodr = 123.0
              )
            ),
            modelPerformance = list(
              asi = 123.0
            )
          )
        ),
        variableImportanceMetrics = list(
          logOddsMetrics = list(
            list(
              variableName = "string",
              variableType = "string",
              variableImportance = 123.0
            )
          )
        ),
        aggregatedVariablesImportanceMetrics = list(
          logOddsMetrics = list(
            list(
              variableNames = list(
                "string"
              ),
              aggregatedVariablesImportance = 123.0
            )
          )
        )
      )
    )
  ),
  nextToken = "string"
)

Request syntax

svc$describe_model_versions(
  modelId = "string",
  modelVersionNumber = "string",
  modelType = "ONLINE_FRAUD_INSIGHTS"|"TRANSACTION_FRAUD_INSIGHTS"|"ACCOUNT_TAKEOVER_INSIGHTS",
  nextToken = "string",
  maxResults = 123
)