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"
)