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 document provides reference documentation for the `StudySpec.Types.ParameterSpec.Types.ScaleType` enum within the Google Cloud AI Platform v1 API, specifically for the .NET environment."],["The latest version available for this documentation is 3.22.0, however many versions are displayed, all the way down to 1.0.0."],["The `ScaleType` enum defines how scaling is applied to a parameter, and it has four possible values: `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["Each possible value of `ScaleType` is detailed, including how they scale and under what circumstances they should be used, for example, `UnitLogScale` requires a strictly positive feasible space."]]],[]]
