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 2025-03-10 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 links provided for versions ranging from 1.0.0 to 3.22.0, as well as the current version 2.26.0."],["The `ScaleType` enum defines the different types of scaling that can be applied to a parameter, including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["The documentation is present in the namespace `Google.Cloud.AIPlatform.V1`, within the `Google.Cloud.AIPlatform.V1.dll` assembly."],["Each type of scaling has a description, such as 'Scales the feasible space to (0, 1) linearly' for `UnitLinearScale`."]]],[]]
