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 different versions of `AutoMlImageSegmentationInputs`, a class used in Google Cloud AI Platform for defining inputs for automated machine learning image segmentation, with the latest version being 3.22.0."],["The `AutoMlImageSegmentationInputs` class, implemented from version 1.0.0 onwards, is part of the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` namespace and is designed to configure training jobs for image segmentation models."],["The class inherits from `object` and implements several interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, allowing for complex operations such as message passing and deep cloning."],["Key properties of `AutoMlImageSegmentationInputs` include `BaseModelId`, which allows training a new model based on an existing one, `BudgetMilliNodeHours` which defines the training budget in milli node hours, and `ModelType`, which specifies the type of model to be trained."],["The documentation provides a comprehensive version history, starting from version 1.0.0 up to the latest 3.22.0, allowing developers to track changes and choose the appropriate version for their projects."]]],[]]
