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 2025-04-02 UTC."],[[["This webpage provides documentation for the `ScaleType` enum within the `Google.Cloud.AIPlatform.V1` namespace, detailing different scaling options for parameters."],["The documentation covers a wide range of versions, from 1.0.0 to the latest version 3.22.0, of the .NET package `Google.Cloud.AIPlatform.V1`."],["Four specific scaling types are defined within the `ScaleType` enum, including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["Each scaling type's description is provided to explain how it transforms the feasible parameter space, and any restrictions that may apply such as for log scales that require strictly positive values."]]],[]]
