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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20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 comprehensive details on the \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class, including its inheritance, implementation, constructors, and properties.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version of this class is documented under version 3.22.0, while the document also lists versions spanning from 1.0.0 to 3.21.0, providing a historical view of changes.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class implements several interfaces such as \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, defining its capabilities within the .NET framework.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e include \u003ccode\u003eBaseModelId\u003c/code\u003e for training a new model based on an existing one, \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e for setting training budget, and \u003ccode\u003eModelType\u003c/code\u003e for specifying the model's type.\u003c/p\u003e\n"],["\u003cp\u003eThe document is part of the Google.Cloud.AIPlatform.V1 library, specifically within the namespace Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition.\u003c/p\u003e\n"]]],[],null,[]]
