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 document provides reference information for the `StudySpec.Types.ParameterSpec.Types.ScaleType` enum within the Google Cloud AI Platform v1beta1 API."],["The `ScaleType` enum is used to define the type of scaling applied to a parameter within a study specification, with options including linear, logarithmic, reverse logarithmic, and no scaling."],["The `UnitLinearScale` field scales the feasible space linearly between 0 and 1."],["The `UnitLogScale` and `UnitReverseLogScale` fields use logarithmic and reverse logarithmic scaling respectively, with the requirement that the feasible space be strictly positive."],["The `Unspecified` field indicates that no scaling will be applied to the parameter by default."]]],[]]
