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"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-21 UTC."],[[["This document outlines the `AutoMlImageSegmentationInputs` class, which is part of the Google Cloud AI Platform's .NET library for defining inputs for automated machine learning image segmentation training jobs."],["The class is found within the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` namespace, specifically in the `Google.Cloud.AIPlatform.V1.dll` assembly."],["The latest version is 3.22.0, and the page documents versions of the class from 1.0.0 up to the latest, including version 2.25.0 which is the one that is actively documented."],["Key properties of the `AutoMlImageSegmentationInputs` class include `BaseModelId`, `BudgetMilliNodeHours`, and `ModelType`, which are used to specify the base model, the training budget, and the type of model, respectively."],["The class implements multiple interfaces such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, allowing for message manipulation, comparison, deep cloning, and efficient buffer operations."]]],[]]
