Vertex AI V1 API - Module Google::Cloud::AIPlatform::V1::StudySpec::MeasurementSelectionType (v0.3.0)

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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.

Constants

MEASUREMENT_SELECTION_TYPE_UNSPECIFIED

value: 0
Will be treated as LAST_MEASUREMENT.

LAST_MEASUREMENT

value: 1
Use the last measurement reported.

BEST_MEASUREMENT

value: 2
Use the best measurement reported.