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 2025-03-10 UTC."],[[["This page provides reference documentation for the `ScaleType` enum within the Google Cloud AI Platform v1 API."],["The `ScaleType` enum defines the type of scaling applied to a parameter in the context of machine learning studies."],["The available scaling options are `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`, each with its specific scaling behavior."],["The documentation lists various versions of the AI Platform API, ranging from the latest `3.22.0` down to version `1.0.0`, which can be found here."],["The `ScaleType` enum is found in the `Google.Cloud.AIPlatform.V1` namespace and is part of the `Google.Cloud.AIPlatform.V1.dll` assembly."]]],[]]
