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 webpage provides a comprehensive list of versions for `ScaleType` within the `Google.Cloud.AIPlatform.V1` namespace, ranging from version 1.0.0 up to the latest version 3.22.0."],["The `ScaleType` enum specifies the type of scaling that can be applied to a parameter in the Google Cloud AI Platform, including linear, logarithmic, and reverse logarithmic scaling."],["The available `ScaleType` fields are `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`, each with a corresponding description of how it affects the feasible space."],["Each listed version number links to a specific page with details for the `Google.Cloud.AIPlatform.V1.StudySpec.Types.ParameterSpec.Types.ScaleType` at that version, facilitating access to version-specific documentation."]]],[]]
