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 `StudySpec.Types.ParameterSpec.Types.ScaleType` enum within the Google Cloud AI Platform V1 API."],["The `ScaleType` enum defines how scaling should be applied to a parameter, with options including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["The documentation is versioned, with the latest version being 3.22.0, alongside a comprehensive list of previous versions ranging from 1.0.0 to 3.21.0."],["The latest version of the documentation is in the namespace `Google.Cloud.AIPlatform.V1`, within the `Google.Cloud.AIPlatform.V1.dll` assembly."],["The different fields within the `ScaleType` enum are described, such as `UnitLinearScale`, which scales the feasible space linearly to (0,1)."]]],[]]
