public sealed class AutoMlImageObjectDetectionInputs : IMessage<AutoMlImageObjectDetectionInputs>, IEquatable<AutoMlImageObjectDetectionInputs>, IDeepCloneable<AutoMlImageObjectDetectionInputs>, IBufferMessage, IMessage
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.
For modelType cloud(default), the budget must be between 20,000
and 900,000 milli node hours, inclusive. The default value is 216,000
which represents one day in wall time, considering 9 nodes are used.
For model types mobile-tf-low-latency-1, mobile-tf-versatile-1,
mobile-tf-high-accuracy-1
the training budget must be between 1,000 and 100,000 milli node hours,
inclusive. The default value is 24,000 which represents one day in
wall time on a single node that is used.
Use the entire training budget. This disables the early stopping feature.
When false the early stopping feature is enabled, which means that AutoML
Image Object Detection might stop training before the entire training
budget has been used.
[[["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 2025-08-20 UTC."],[[["\u003cp\u003eThe latest version of the \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e is 3.22.0, with numerous previous versions available for reference, ranging down to version 1.0.0.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e is a class that implements multiple interfaces including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e within the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1\u003c/code\u003e namespace.\u003c/p\u003e\n"],["\u003cp\u003eThe class includes properties such as \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e, which sets the training budget, and \u003ccode\u003eDisableEarlyStopping\u003c/code\u003e, which allows for the option of using the entire training budget.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eModelType\u003c/code\u003e property allows for the configuration of different model types.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e has two constructors: a default parameterless constructor and one that takes an other \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e as parameter.\u003c/p\u003e\n"]]],[],null,[]]
