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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20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 image segmentation training jobs, ranging from version 1.0.0 to the latest version 3.22.0.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e implements several interfaces, including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, facilitating its use within the Google Protobuf ecosystem and .NET environment.\u003c/p\u003e\n"],["\u003cp\u003eThe class provides constructors for creating new instances and duplicating existing ones, offering flexibility in managing \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e objects.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e include \u003ccode\u003eBaseModelId\u003c/code\u003e for leveraging pre-existing models and \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e to manage the training budget, along with \u003ccode\u003eModelType\u003c/code\u003e to define how the model should be built.\u003c/p\u003e\n"],["\u003cp\u003eThe most current version is 3.22.0, and there is a wide range of historical versions available for use including from 1.0.0 and up.\u003c/p\u003e\n"]]],[],null,[]]
