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 webpage provides documentation for the `AutoMlImageSegmentationInputs` class within the `Google.Cloud.AIPlatform.V1` namespace, specifically for the .NET library."],["The `AutoMlImageSegmentationInputs` class is used for defining inputs for AutoML image segmentation training jobs, and it implements several interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["The class features properties like `BaseModelId`, `BudgetMilliNodeHours`, and `ModelType`, which allow users to configure the base model, training budget, and type of model for their image segmentation tasks."],["The documentation lists all available versions of the class, with the latest being 3.22.0 and the oldest being 1.0.0, and you can navigate to each version's detailed documentation from this page."],["The class includes two constructors: a default constructor and one that accepts another `AutoMlImageSegmentationInputs` instance for copying properties."]]],[]]
