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 webpage provides documentation for the `ScaleType` enum within the `Google.Cloud.AIPlatform.V1` namespace, specifically detailing how parameters are scaled."],["The content lists all available versions of this documentation, ranging from version 1.0.0 up to the latest, which is 3.22.0."],["There are four scaling types available, `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`, each with its own method of scaling the parameter space."],["The document specifies that both `UnitLogScale` and `UnitReverseLogScale` require the entire feasible space to be strictly positive."],["The default scaling option, when none is specified, is `Unspecified`, meaning no scaling is applied to the parameter."]]],[]]
