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 2025-03-25 UTC."],[[["This page provides reference documentation for the `StudySpec.Types.ParameterSpec.Types.ScaleType` enum within the Google Cloud AI Platform v1beta1 API."],["The `ScaleType` enum defines the types of scaling that can be applied to a parameter, including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["The `UnitLogScale` and `UnitReverseLogScale` options require that the entire feasible space for the parameter be strictly positive."],["The latest version of this doc is `1.0.0-beta21`, and the current version is `1.0.0-beta09`, with a version of `1.0.0-beta20` also available to view."]]],[]]
