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 AI Platform V1 .NET library, specifically version 3.7.0 and all its other versions."],["`AutoMlImageSegmentationInputs` is a class used for configuring inputs for AutoML image segmentation training jobs, implementing multiple interfaces like IMessage, IEquatable, IDeepCloneable, and IBufferMessage."],["The class offers properties to define training parameters such as `BaseModelId`, `BudgetMilliNodeHours`, and `ModelType`, all which define how the training job will be conducted."],["The page lists a comprehensive history of versions for this specific class, ranging from the latest version 3.22.0 down to version 1.0.0 for those looking for older documentation."],["The class has two constructors, a default one, and another one that takes an `AutoMlImageSegmentationInputs` object as a parameter."]]],[]]
