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"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20 UTC."],[[["\u003cp\u003eThis webpage provides reference documentation for the \u003ccode\u003eStudySpec.Types.ParameterSpec.Types.ScaleType\u003c/code\u003e enum within the Google Cloud AI Platform v1 API, specifically for the .NET library.\u003c/p\u003e\n"],["\u003cp\u003eThe content covers multiple versions of the API, ranging from version 1.0.0 to the latest version 3.22.0, with links to each versions documentation.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eScaleType\u003c/code\u003e enum defines four different scaling options: \u003ccode\u003eUnitLinearScale\u003c/code\u003e, \u003ccode\u003eUnitLogScale\u003c/code\u003e, \u003ccode\u003eUnitReverseLogScale\u003c/code\u003e, and \u003ccode\u003eUnspecified\u003c/code\u003e, which are used for parameter scaling in AI Platform studies.\u003c/p\u003e\n"],["\u003cp\u003eThe documentation details the use and constraints of each scale type, with \u003ccode\u003eUnitLogScale\u003c/code\u003e and \u003ccode\u003eUnitReverseLogScale\u003c/code\u003e requiring a strictly positive feasible space.\u003c/p\u003e\n"]]],[],null,[]]
