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 2025-03-25 UTC."],[[["This page provides documentation for the `ScaleType` enum within the Google Cloud AI Platform V1 API, specifically under `StudySpec.Types.ParameterSpec.Types`."],["The latest version of the `ScaleType` enum documented is 3.22.0, with a comprehensive list of previous versions dating back to 1.0.0 available for review."],["The `ScaleType` enum defines the type of scaling to apply to a parameter, offering options like `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["The `UnitLogScale` and `UnitReverseLogScale` options require that the feasible space must contain only strictly positive values."],["The `Unspecified` option is the default, and indicates that no scaling will be applied to the parameter."]]],[]]
