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 details the `AutoMlImageSegmentationInputs` class within the `Google.Cloud.AIPlatform.V1` namespace, which is part of Google's AI Platform for automated image segmentation training job definitions, spanning from version 1.0.0 to the latest 3.22.0."],["The class `AutoMlImageSegmentationInputs` can be constructed either as an empty class or by passing another `AutoMlImageSegmentationInputs` class, and it implements multiple interfaces like `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["The `BaseModelId` property within `AutoMlImageSegmentationInputs` allows specifying a base model for transfer learning, enabling users to train a new model based on an existing one, provided they are within the same project and location."],["`BudgetMilliNodeHours` is a key property used to define the training budget for a model, measured in milli node hours, and it influences the training duration and the final cost, stopping training if no improvement is seen."],["The `ModelType` property lets you choose the model type for the training job, which offers further customization of the `AutoMlImageSegmentationInputs` class."]]],[]]
