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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20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 \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class, which is part of the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1\u003c/code\u003e library, and is used within the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition\u003c/code\u003e namespace for defining inputs for automated machine learning image segmentation tasks.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class has been released in multiple versions, ranging from version 1.0.0 up to 3.22.0, with 3.22.0 being the latest, and it inherits from the base \u003ccode\u003eobject\u003c/code\u003e class while implementing interfaces like \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe class constructor \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e allows for creating a new instance either with default values or by copying an existing \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e object.\u003c/p\u003e\n"],["\u003cp\u003eThe class's properties include \u003ccode\u003eBaseModelId\u003c/code\u003e, a string representing the ID of a base model for training, \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e, a long integer determining the budget for model training in milli node hours, and \u003ccode\u003eModelType\u003c/code\u003e, which specifies the model type to be used for segmentation.\u003c/p\u003e\n"],["\u003cp\u003eThe document also provides links to documentation for every release of this class, each specifying the version number.\u003c/p\u003e\n"]]],[],null,[]]
