Vertex AI v1 API - Enum StudySpec.Types.MeasurementSelectionType (3.67.0)
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Reference documentation and code samples for the Vertex AI v1 API enum StudySpec.Types.MeasurementSelectionType.
This indicates which measurement to use if/when the service automatically
selects the final measurement from previously reported intermediate
measurements. Choose this based on two considerations:
A) Do you expect your measurements to monotonically improve?
If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
situation where your system can "over-train" and you expect the
performance to get better for a while but then start declining,
choose BEST_MEASUREMENT.
B) Are your measurements significantly noisy and/or irreproducible?
If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
may be better to choose LAST_MEASUREMENT.
If both or neither of (A) and (B) apply, it doesn't matter which
selection type is chosen.
[[["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 2026-03-11 UTC."],[],[]]