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 2025-04-09 UTC."],[[["This document provides reference information for the `StudySpec.Types.ParameterSpec.Types.ScaleType` enum within the Cloud AI Platform v1beta1 API."],["The `ScaleType` enum defines how scaling is applied to a parameter, with options including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["The `UnitLinearScale` option scales the feasible space to (0, 1) linearly, while `UnitLogScale` and `UnitReverseLogScale` apply logarithmic scaling."],["`Unspecified` indicates that no scaling is applied to the parameter by default."],["This information is located within the Google.Cloud.AIPlatform.V1Beta1 namespace and part of the Google.Cloud.AIPlatform.V1Beta1.dll assembly."]]],[]]
