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
- (::Google::Cloud::Dlp::V2::Likelihood) — Set the likelihood of a finding to a fixed value.
#fixed_likelihood=
def fixed_likelihood=(value) -> ::Google::Cloud::Dlp::V2::Likelihood
Parameter
- value (::Google::Cloud::Dlp::V2::Likelihood) — Set the likelihood of a finding to a fixed value.
Returns
- (::Google::Cloud::Dlp::V2::Likelihood) — Set the likelihood of a finding to a fixed value.
#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 andrelative_likelihood
is 1, then it is upgraded toLIKELY
, while a value of -1 would downgrade it toUNLIKELY
. Likelihood may never drop belowVERY_UNLIKELY
or exceedVERY_LIKELY
, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELY
will result in a final likelihood ofLIKELY
.
#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 andrelative_likelihood
is 1, then it is upgraded toLIKELY
, while a value of -1 would downgrade it toUNLIKELY
. Likelihood may never drop belowVERY_UNLIKELY
or exceedVERY_LIKELY
, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELY
will result in a final likelihood ofLIKELY
.
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 andrelative_likelihood
is 1, then it is upgraded toLIKELY
, while a value of -1 would downgrade it toUNLIKELY
. Likelihood may never drop belowVERY_UNLIKELY
or exceedVERY_LIKELY
, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELY
will result in a final likelihood ofLIKELY
.