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 2025-04-09 UTC."],[[["This webpage details the `AutoMlImageObjectDetectionInputs` class, a part of the Google Cloud AI Platform's .NET library for defining inputs for automated machine learning image object detection."],["The `AutoMlImageObjectDetectionInputs` class implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, providing functionalities like message handling, equality checking, deep cloning, and buffered message support."],["Key properties of this class include `BudgetMilliNodeHours`, which specifies the training budget in milli node hours, `DisableEarlyStopping`, a boolean to control the early stopping feature, and `ModelType`, which sets the type of model being used in training."],["The page provides links to various versions of the library, from version 1.0.0 to the latest 3.22.0, for the `AutoMlImageObjectDetectionInputs` object, allowing users to access documentation for different versions."],["It contains information about the constructors `AutoMlImageObjectDetectionInputs()` and `AutoMlImageObjectDetectionInputs(AutoMlImageObjectDetectionInputs other)` which are used to create new instances of the object, as well as the namespace `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` and Assembly `Google.Cloud.AIPlatform.V1.dll` which are part of the class."]]],[]]
