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 a comprehensive list of all available versions of the `ScaleType` enum within the `Google.Cloud.AIPlatform.V1` namespace."],["The latest version of `ScaleType` available is 3.22.0, with previous versions ranging back to 1.0.0."],["The `ScaleType` enum defines different methods of scaling for a parameter, including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["The documentation describes the four scaling options, explaining that `UnitLinearScale` scales linearly, `UnitLogScale` scales logarithmically, `UnitReverseLogScale` scales \"reverse\" logarithmically, and `Unspecified` applies no scaling."],["Each link provided navigates to a specific version of the `ScaleType` documentation within the `Google.Cloud.AIPlatform.V1.StudySpec.Types.ParameterSpec.Types` path."]]],[]]
