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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20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 details the \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class, crucial for configuring automated machine learning image segmentation training jobs within the Google Cloud AI Platform.\u003c/p\u003e\n"],["\u003cp\u003eThe content provides a comprehensive list of available versions of \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e, ranging from version 1.0.0 up to the latest version, 3.22.0, for the .NET platform.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class offers properties like \u003ccode\u003eBaseModelId\u003c/code\u003e, \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e, and \u003ccode\u003eModelType\u003c/code\u003e, which allow users to customize the training process, including specifying a base model, setting a budget, and selecting a model type.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version, 3.22.0, and older versions are readily accessible through provided links, ensuring users can find the documentation relevant to their specific project requirements.\u003c/p\u003e\n"],["\u003cp\u003eThe document lists details of the \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e class including it's constructors, inherited members, and the namespaces and assemblies it's part of.\u003c/p\u003e\n"]]],[],null,[]]
