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 2025-04-09 UTC."],[[["This webpage details the `AutoMlImageSegmentationInputs` class within the `Google.Cloud.AIPlatform.V1` namespace, which is used for configuring inputs for AutoML image segmentation training jobs."],["The class `AutoMlImageSegmentationInputs` implements several interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, providing functionalities like message handling, equality comparisons, deep cloning, and buffer operations."],["It offers constructors for creating instances, either default or by copying another `AutoMlImageSegmentationInputs` object, and includes properties like `BaseModelId`, `BudgetMilliNodeHours`, and `ModelType` to specify training parameters."],["The `BaseModelId` property allows for training a new model based on an existing model, while the `BudgetMilliNodeHours` property sets the training budget, and `ModelType` specifies the model's training strategy."],["The page lists all the available version documentation, ranging from 3.22.0 (latest) to 1.0.0, for this class, allowing users to review the specifications according to the version they are using."]]],[]]
