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"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20 UTC."],[[["\u003cp\u003eThe documentation provides a comprehensive list of versions for the \u003ccode\u003eStudySpec.Types.ParameterSpec.Types.ScaleType\u003c/code\u003e enum, ranging from version 1.0.0 to the latest version 3.22.0.\u003c/p\u003e\n"],["\u003cp\u003eThis enum, part of the Google Cloud AI Platform v1 API, defines the types of scaling that can be applied to a parameter in a study, with options including \u003ccode\u003eUnitLinearScale\u003c/code\u003e, \u003ccode\u003eUnitLogScale\u003c/code\u003e, \u003ccode\u003eUnitReverseLogScale\u003c/code\u003e, and \u003ccode\u003eUnspecified\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eUnitLogScale\u003c/code\u003e and \u003ccode\u003eUnitReverseLogScale\u003c/code\u003e options require the feasible space to be strictly positive, whereas \u003ccode\u003eUnitLinearScale\u003c/code\u003e scales the space linearly to (0, 1).\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eUnspecified\u003c/code\u003e is the default field and, when chosen, means no scaling will be applied to the parameter.\u003c/p\u003e\n"]]],[],null,[]]
