Google Cloud Ai Platform V1 Client - Class MeasurementSelectionType (1.13.1)

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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class 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.

Protobuf type google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType

Namespace

Google \ Cloud \ AIPlatform \ V1 \ StudySpec

Methods

static::name

Parameter
Name	Description
value	mixed

static::value

Parameter
Name	Description
name	mixed

Constants

MEASUREMENT_SELECTION_TYPE_UNSPECIFIED

Value: 0

Will be treated as LAST_MEASUREMENT.

Generated from protobuf enum MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;

LAST_MEASUREMENT

Value: 1

Use the last measurement reported.

Generated from protobuf enum LAST_MEASUREMENT = 1;

BEST_MEASUREMENT

Value: 2

Use the best measurement reported.

Generated from protobuf enum BEST_MEASUREMENT = 2;