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"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20 UTC."],[[["\u003cp\u003eThis document provides versioned documentation for \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e, a class used in Google Cloud AI Platform for defining inputs for automated machine learning image segmentation training jobs.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version available is 3.22.0, and the documentation includes a comprehensive list of past versions, starting from 1.0.0, each linked to its respective documentation page.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class, derived from the Object class and implementing multiple interfaces, is found within the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition\u003c/code\u003e namespace, residing in the Google.Cloud.AIPlatform.V1.dll assembly.\u003c/p\u003e\n"],["\u003cp\u003eThe class contains constructors and properties, including \u003ccode\u003eBaseModelId\u003c/code\u003e, \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e, and \u003ccode\u003eModelType\u003c/code\u003e, which are used to configure the training job such as which base model to use, the budget limit for training and model type.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e property allows to specify the training budget for the model which should be between 20,000 and 2,000,000 milli node hours for the default \u003ccode\u003ecloud-high-accuracy-1\u003c/code\u003e model type, with a default of 192,000.\u003c/p\u003e\n"]]],[],null,[]]
