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"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20 UTC."],[[["\u003cp\u003eThis webpage provides documentation for the \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e class within the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1\u003c/code\u003e namespace, specifically version 3.19.0, which is a component for defining inputs for AutoML image object detection training jobs.\u003c/p\u003e\n"],["\u003cp\u003eThe content details the class's inheritance structure and implemented interfaces, which include \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, and displays a comprehensive list of past versions of the documentation ranging from 1.0.0 up to the latest 3.22.0.\u003c/p\u003e\n"],["\u003cp\u003eThe class includes constructors for creating new instances and properties like \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e, \u003ccode\u003eDisableEarlyStopping\u003c/code\u003e, and \u003ccode\u003eModelType\u003c/code\u003e, used to configure training budget, control early stopping, and select the model type, respectively.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e is used to express training parameters for an image object detection model, with the \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e representing the training budget, the \u003ccode\u003eDisableEarlyStopping\u003c/code\u003e property indicating if the entire budget should be used, and the \u003ccode\u003eModelType\u003c/code\u003e specifying the model type.\u003c/p\u003e\n"],["\u003cp\u003eThe current documentation refers to version 3.19.0 of the \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e Class, and references to previous versions are readily available for easy navigation and comparison.\u003c/p\u003e\n"]]],[],null,[]]
