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 2025-03-21 UTC."],[[["This document outlines the different versions of `AutoMlImageObjectDetectionInputs`, a class within the Google Cloud AI Platform's .NET library, with version 3.22.0 being the latest and ranging back to version 1.0.0."],["The `AutoMlImageObjectDetectionInputs` class implements interfaces like `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, indicating its role in data processing and object management within the library."],["The class includes properties like `BudgetMilliNodeHours`, which sets the training budget, `DisableEarlyStopping`, to control the early stopping feature, and `ModelType`, that defines the type of model used for object detection."],["The training budget, defined by `BudgetMilliNodeHours`, can range from 20,000 to 900,000 milli node hours for the cloud model type and from 1,000 to 100,000 milli node hours for various mobile model types."],["There are two constructors for this class, one parameterless, and the other taking another `AutoMlImageObjectDetectionInputs` as the parameter for instantiation."]]],[]]
