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 webpage 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 content includes documentation for multiple versions of the API, ranging from version 1.0.0 to the latest version, 3.22.0, allowing you to view changes and features through time."],["The `ScaleType` enum specifies the scaling method to be applied to a parameter, with options including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["Each of the scaling methods listed, `UnitLinearScale`, `UnitLogScale`, and `UnitReverseLogScale` are briefly explained, showing the type of scaling that will be applied, and any restrictions that may be in place."]]],[]]
