Cloud Data Loss Prevention (DLP) V2 API - Class Google::Cloud::Dlp::V2::CustomInfoType::DetectionRule::LikelihoodAdjustment (v0.11.0)

Reference documentation and code samples for the Cloud Data Loss Prevention (DLP) V2 API class Google::Cloud::Dlp::V2::CustomInfoType::DetectionRule::LikelihoodAdjustment.

Message for specifying an adjustment to the likelihood of a finding as part of a detection rule.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#fixed_likelihood

def fixed_likelihood() -> ::Google::Cloud::Dlp::V2::Likelihood
Returns

#fixed_likelihood=

def fixed_likelihood=(value) -> ::Google::Cloud::Dlp::V2::Likelihood
Parameter
Returns

#relative_likelihood

def relative_likelihood() -> ::Integer
Returns
  • (::Integer) — Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.

#relative_likelihood=

def relative_likelihood=(value) -> ::Integer
Parameter
  • value (::Integer) — Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.
Returns
  • (::Integer) — Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.