Create Detector Version
frauddetector_create_detector_version | R Documentation |
Creates a detector version¶
Description¶
Creates a detector version. The detector version starts in a DRAFT
status.
Usage¶
frauddetector_create_detector_version(detectorId, description,
externalModelEndpoints, rules, modelVersions, ruleExecutionMode, tags)
Arguments¶
detectorId
[required] The ID of the detector under which you want to create a new version.
description
The description of the detector version.
externalModelEndpoints
The Amazon Sagemaker model endpoints to include in the detector version.
rules
[required] The rules to include in the detector version.
modelVersions
The model versions to include in the detector version.
ruleExecutionMode
The rule execution mode for the rules included in the detector version.
You can define and edit the rule mode at the detector version level, when it is in draft status.
If you specify
FIRST_MATCHED
, Amazon Fraud Detector evaluates rules sequentially, first to last, stopping at the first matched rule. Amazon Fraud dectector then provides the outcomes for that single rule.If you specifiy
ALL_MATCHED
, Amazon Fraud Detector evaluates all rules and returns the outcomes for all matched rules.The default behavior is
FIRST_MATCHED
.tags
A collection of key and value pairs.
Value¶
A list with the following syntax:
Request syntax¶
svc$create_detector_version(
detectorId = "string",
description = "string",
externalModelEndpoints = list(
"string"
),
rules = list(
list(
detectorId = "string",
ruleId = "string",
ruleVersion = "string"
)
),
modelVersions = list(
list(
modelId = "string",
modelType = "ONLINE_FRAUD_INSIGHTS"|"TRANSACTION_FRAUD_INSIGHTS"|"ACCOUNT_TAKEOVER_INSIGHTS",
modelVersionNumber = "string",
arn = "string"
)
),
ruleExecutionMode = "ALL_MATCHED"|"FIRST_MATCHED",
tags = list(
list(
key = "string",
value = "string"
)
)
)