A Model best tailored to be used within Google Cloud, and which cannot
be exported.
Default.
MobileTfHighAccuracy1
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
or Core ML model and used on a mobile or edge device afterwards.
Expected to have a higher latency, but should also have a higher
prediction quality than other mobile models.
MobileTfLowLatency1
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
or Core ML 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.
MobileTfVersatile1
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
or Core ML model and used on a mobile or edge device with afterwards.
[[["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 2025-04-01 UTC."],[[["This page provides documentation for the `ModelType` enum within the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition.AutoMlImageClassificationInputs.Types` namespace, part of the Google Cloud AI Platform's .NET library."],["The `ModelType` enum defines five possible types: `Cloud`, `MobileTfHighAccuracy1`, `MobileTfLowLatency1`, `MobileTfVersatile1`, and `Unspecified`, each with specific use cases and performance characteristics."],["The documentation details that `Cloud` models are designed for use within Google Cloud and are not exportable, while the `MobileTf` variants are designed for mobile or edge device deployment via export as TensorFlow or Core ML models."],["There are numerous versions of this documentation available, ranging from version 1.0.0 up to the latest version 3.22.0, accessible via the provided links."],["Each `ModelType` variant, beyond `Unspecified`, has unique performance attributes, specifically latency and prediction quality, which is critical when selecting the appropriate one for your given model."]]],[]]
