A model to be used via prediction calls to uCAIP API. Expected
to have a higher latency, but should also have a higher prediction
quality than other models.
CloudLowAccuracy1
A model to be used via prediction calls to uCAIP API. Expected
to have a lower latency but relatively lower prediction quality.
MobileTfLowLatency1
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
model and used on a mobile or edge device afterwards.
Expected to have low latency, but may have lower prediction
quality than other mobile models.
[[["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 lists various versions of the `ModelType` enum within the `Google.Cloud.AIPlatform.V1` namespace, spanning from version 1.0.0 to 3.22.0, the latest version."],["The `ModelType` enum is part of the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition.AutoMlImageSegmentationInputs.Types` namespace, found within the `Google.Cloud.AIPlatform.V1.dll` assembly."],["The enum defines four distinct model types: `CloudHighAccuracy1` for high-accuracy predictions, `CloudLowAccuracy1` for lower latency predictions, `MobileTfLowLatency1` for mobile or edge device deployment, and `Unspecified` which is not intended to be set."],["Each version listed links to the corresponding documentation for the `ModelType` enum, allowing developers to find the documentation associated with their version."],["The content is structured around a descending list of versions, with the most recent version at the top, which can be expanded to show the different versions and their documentation."]]],[]]