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 2025-03-25 UTC."],[[["This page lists the available versions of the `ScaleType` enum within the `Google.Cloud.AIPlatform.V1` namespace, ranging from version 1.0.0 to the latest version, 3.22.0."],["The `ScaleType` enum is used to define the type of scaling that should be applied to a parameter, and can be found within `Google.Cloud.AIPlatform.V1.StudySpec.Types.ParameterSpec.Types`."],["There are four possible values for `ScaleType`: `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`, each with its own description and scaling method."],["`UnitLogScale` and `UnitReverseLogScale` both require the space to be strictly positive, and `UnitReverseLogScale` will spread values more towards the top."],["`Unspecified` will result in no scaling being applied to the parameter."]]],[]]
