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 `StudySpec.Types.ParameterSpec.Types.ScaleType` enum within the Google Cloud AI Platform V1 API."],["The latest version documented is 3.22.0, with versions ranging from 1.0.0 up to 3.22.0, each with its own specific documentation."],["The `ScaleType` enum defines how scaling is applied to parameters, with options including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["Each scaling type offers a different method of transforming the parameter's feasible space, such as linear scaling to (0, 1), logarithmic scaling, or reverse logarithmic scaling."],["The documentation is part of the `Google.Cloud.AIPlatform.V1` namespace and is found within the `Google.Cloud.AIPlatform.V1.dll` assembly."]]],[]]
