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 2025-04-08 UTC."],[[["This webpage provides documentation for the `AutoMlImageObjectDetectionInputs` class within the `Google.Cloud.AIPlatform.V1` namespace, specifically version 3.20.0, which is part of the AutoML image object detection feature for training jobs."],["The `AutoMlImageObjectDetectionInputs` class implements multiple interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and inherits from `object`."],["The document details the constructors available for `AutoMlImageObjectDetectionInputs`, including a parameterless constructor and one that takes another `AutoMlImageObjectDetectionInputs` object as an argument."],["The class includes properties like `BudgetMilliNodeHours`, which sets the training budget in milli node hours with specific constraints based on the chosen model type, `DisableEarlyStopping`, which controls whether to use the entire training budget, and `ModelType`, which defines the type of model to be trained."],["This documentation provides links to older versions of the library from 1.0.0, all the way up to the latest version at 3.22.0, allowing users to understand the evolution of this particular class and its functionality over time."]]],[]]
