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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20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 webpage provides documentation for the \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class within the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1\u003c/code\u003e library, specifically for .NET development.\u003c/p\u003e\n"],["\u003cp\u003eThe content lists various versions of the documentation, ranging from the latest version 3.22.0 down to version 1.0.0, allowing users to access information relevant to different library versions.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class is used for configuring AutoML image segmentation training jobs and implements multiple interfaces, including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, and \u003ccode\u003eIDeepCloneable\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e include \u003ccode\u003eBaseModelId\u003c/code\u003e, which specifies a pre-existing model to train upon, \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e that sets training time, and \u003ccode\u003eModelType\u003c/code\u003e which defines the type of model to train.\u003c/p\u003e\n"],["\u003cp\u003eThe class also includes constructors for creating instances, including a default constructor and a copy constructor that takes another instance of the same class.\u003c/p\u003e\n"]]],[],null,[]]
