Reference documentation and code samples for the Vertex AI V1 API module Google::Cloud::AIPlatform::V1::StudySpec::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.
