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 historical versions dating back to 1.0.0."],["The `ScaleType` enum defines how scaling is applied to a parameter, including options like `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["The `ScaleType` enum is located within the `Google.Cloud.AIPlatform.V1` namespace and the `Google.Cloud.AIPlatform.V1.dll` assembly."],["The page details each scaling type, explaining what it does, such as scaling linearly to (0,1), scaling logarithmically to (0,1), or scaling in a \"reverse\" logarithmic fashion, and provides the option of no scaling applied."]]],[]]
