Class PerformanceTarget (0.1.3)
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PerformanceTarget(mapping=None, *, ignore_unknown_fields=False, **kwargs)
PerformanceTarget gives hints on how to evaluate the
performance of a model.
Attribute |
| Name |
Description |
party_investigations_per_period_hint |
int
Required. A number that gives the tuner a
hint on the number of parties from this data
that will be investigated per period (monthly).
This is used to control how the model is
evaluated. For example, when trying AML AI for
the first time, we recommend setting this to the
number of parties investigated in an average
month, based on alerts from your existing
automated alerting system.
|
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Last updated 2025-10-10 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-10-10 UTC."],[],[]]
