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 2025-03-25 UTC."],[[["This webpage provides documentation for the `ModelType` enum within the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` namespace, part of the Google Cloud AI Platform .NET library, version 2.3.0."],["The latest documented version available is 3.22.0, with a history of versions ranging from 1.0.0 up to the latest version documented."],["The `ModelType` enum defines different types of models, including `CloudHighAccuracy1`, `CloudLowAccuracy1`, `MobileTfLowLatency1`, and `Unspecified`, each with specific latency and prediction quality characteristics."],["The documentation is designed to be a reference guide for developers using the `Google.Cloud.AIPlatform.V1` assembly to understand how to use the `ModelType` when dealing with training jobs and AI models."],["Each listed version, from 1.0.0 to the latest, links to a corresponding page with more specific documentation for that given version."]]],[]]
