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."],[[["The page 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 documentation includes details for multiple versions of the API, ranging from version 1.0.0 to the latest version, 3.22.0, allowing for navigation through historical versions."],["The `ScaleType` enum defines the types of scaling applicable to a parameter, including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["Each scaling type has an associated description detailing how it transforms the feasible space of a parameter, with `UnitLogScale` and `UnitReverseLogScale` requiring a strictly positive feasible space."]]],[]]
