public sealed class AutoMlImageSegmentationInputs : IMessage<AutoMlImageSegmentationInputs>, IEquatable<AutoMlImageSegmentationInputs>, IDeepCloneable<AutoMlImageSegmentationInputs>, IBufferMessage, IMessage
The ID of the base model. If it is specified, the new model will be
trained based on the base model. Otherwise, the new model will be
trained from scratch. The base model must be in the same
Project and Location as the new Model to train, and have the same
modelType.
The training budget of creating this model, expressed in milli node
hours i.e. 1,000 value in this field means 1 node hour. The actual
metadata.costMilliNodeHours will be equal or less than this value.
If further model training ceases to provide any improvements, it will
stop without using the full budget and the metadata.successfulStopReason
will be model-converged.
Note, node_hour = actual_hour * number_of_nodes_involved. Or
actaul_wall_clock_hours = train_budget_milli_node_hours /
(number_of_nodes_involved * 1000)
For modelType cloud-high-accuracy-1(default), the budget must be between
20,000 and 2,000,000 milli node hours, inclusive. The default value is
192,000 which represents one day in wall time
(1000 milli * 24 hours * 8 nodes).
[[["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 document provides detailed information on the `AutoMlImageSegmentationInputs` class within the `Google.Cloud.AIPlatform.V1` namespace, specifically version 3.18.0, which is part of the training job definition schema."],["The `AutoMlImageSegmentationInputs` class is used to define input parameters for training an AutoML image segmentation model, including specifying the base model ID, budget for training, and the desired model type."],["This class implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, ensuring it can be used with Google Protobuf and other .NET functionalities."],["The page lists various versions of this class, from 1.0.0 up to the latest, 3.22.0, allowing users to access documentation for specific iterations of the `AutoMlImageSegmentationInputs` and the links associated to navigate to each respective version."],["The `AutoMlImageSegmentationInputs` class has properties such as `BaseModelId`, `BudgetMilliNodeHours`, and `ModelType`, which offer control over defining model training parameters."]]],[]]
