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."],[[["The provided content is a documentation page for the `AutoMlImageObjectDetectionInputs` class within the Google Cloud AI Platform's .NET library, specifically for version 3.6.0, and outlines various previous versions of the same."],["The `AutoMlImageObjectDetectionInputs` class is used to define input parameters for training an AutoML image object detection model and implements multiple interfaces such as `IMessage`, `IEquatable`, and `IDeepCloneable`, among others."],["The class includes properties like `BudgetMilliNodeHours`, which sets the training budget, `DisableEarlyStopping`, which controls early stopping, and `ModelType`, which defines the type of model being trained, each property with specific descriptions."],["The `AutoMlImageObjectDetectionInputs` class has two constructors, one default and one that takes another `AutoMlImageObjectDetectionInputs` object as a parameter, and also lists all other inherited members that are accessible."],["The list provided shows all available version of the AutoMlImageObjectDetectionInputs class, from version 1.0.0 to 3.22.0, along with their respective links."]]],[]]
