Scales the feasible space logarithmically to (0, 1). The entire
feasible space must be strictly positive.
UnitReverseLogScale
Scales the feasible space "reverse" logarithmically to (0, 1). The
result is that values close to the top of the feasible space are spread
out more than points near the bottom. The entire feasible space must be
strictly positive.
[[["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 2025-03-21 UTC."],[[["This page provides documentation for the `ScaleType` enum within the `Google.Cloud.AIPlatform.V1` namespace, detailing the type of scaling applicable to a parameter."],["The latest version documented on this page is 3.22.0, and it contains versions as far back as 1.0.0, all related to the `ScaleType` documentation."],["`ScaleType` has four defined fields: `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`, each offering different scaling behaviors for parameters."],["The `UnitLogScale` and `UnitReverseLogScale` options require the feasible space to be strictly positive when scaling logarithmically or reverse logarithmically."],["The default `ScaleType` behavior is `Unspecified`, where no scaling is applied to the parameters."]]],[]]
