Copyright | (c) 2013-2023 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | Safe-Inferred |
Language | Haskell2010 |
Documentation
data AggregatedLogOddsMetric Source #
The log odds metric details.
Account Takeover Insights (ATI) model uses event variables from the
login data you provide to continuously calculate a set of variables
(aggregated variables) based on historical events. For example, your ATI
model might calculate the number of times an user has logged in using
the same IP address. In this case, event variables used to derive the
aggregated variables are IP address
and user
.
See: newAggregatedLogOddsMetric
smart constructor.
AggregatedLogOddsMetric' | |
|
Instances
newAggregatedLogOddsMetric Source #
Create a value of AggregatedLogOddsMetric
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:variableNames:AggregatedLogOddsMetric'
, aggregatedLogOddsMetric_variableNames
- The names of all the variables.
$sel:aggregatedVariablesImportance:AggregatedLogOddsMetric'
, aggregatedLogOddsMetric_aggregatedVariablesImportance
- The relative importance of the variables in the list to the other event
variable.
aggregatedLogOddsMetric_variableNames :: Lens' AggregatedLogOddsMetric [Text] Source #
The names of all the variables.
aggregatedLogOddsMetric_aggregatedVariablesImportance :: Lens' AggregatedLogOddsMetric Double Source #
The relative importance of the variables in the list to the other event variable.