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 provides comprehensive details on the `AutoMlImageSegmentationInputs` class within the Google Cloud AI Platform's .NET library, including its inheritance, implementation of interfaces, and available methods."],["The latest version documented is 3.22.0, while the content includes historical versions ranging from 1.0.0 to 3.22.0, offering a version history for this class."],["The `AutoMlImageSegmentationInputs` class is designed for configuring training inputs for AutoML image segmentation models and includes properties like `BaseModelId`, `BudgetMilliNodeHours`, and `ModelType`."],["This class implements several interfaces, such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, which are part of the Google Protocol Buffers library and .NET framework."],["The training budget, specified by `BudgetMilliNodeHours`, controls the duration of model training, with a default value of 192,000 milli node hours and a range of 20,000 to 2,000,000 for the `cloud-high-accuracy-1` model type."]]],[]]
