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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20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 outlines the different versions of \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e, a class used in Google Cloud AI Platform for defining inputs for AutoML image segmentation training jobs.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version available is 3.22.0, while the list includes versions ranging from 1.0.0 to 3.22.0, providing an extensive history of the \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class inherits from \u003ccode\u003eobject\u003c/code\u003e and implements \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e interfaces.\u003c/p\u003e\n"],["\u003cp\u003eKey properties within the \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class include \u003ccode\u003eBaseModelId\u003c/code\u003e, for training based on a pre-existing model, \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e, defining the training time budget, and \u003ccode\u003eModelType\u003c/code\u003e, specifying the model type.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class is in the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition\u003c/code\u003e namespace and is a part of the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1.dll\u003c/code\u003e assembly.\u003c/p\u003e\n"]]],[],null,[]]
