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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["\u003cp\u003eThe latest version of \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e is 1.0.0-beta21, which is a sealed class within the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1Beta1.Schema.TrainingJob.Definition\u003c/code\u003e namespace.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e inherits from \u003ccode\u003eobject\u003c/code\u003e and implements \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e interfaces, with two constructors for initialization, one default and the other with a parameter of \u003ccode\u003eAutoMlImageSegmentationInputs\u003c/code\u003e type.\u003c/p\u003e\n"],["\u003cp\u003eThis class includes properties such as \u003ccode\u003eBaseModelId\u003c/code\u003e (string), \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e (long), and \u003ccode\u003eModelType\u003c/code\u003e (\u003ccode\u003eAutoMlImageSegmentationInputs.Types.ModelType\u003c/code\u003e) which describe model training configurations.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e defines the model training budget in milli node hours, with a default of 192,000 and a range between 20,000 and 2,000,000 for the \u003ccode\u003ecloud-high-accuracy-1\u003c/code\u003e model type.\u003c/p\u003e\n"]]],[],null,[]]
