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 provides documentation for the `AutoMlImageObjectDetectionInputs` class within the Google Cloud AI Platform's .NET library, detailing its structure and usage across various versions."],["The latest version available for this class is 3.22.0, and the page contains a comprehensive list of versions dating back to version 1.0.0, each linked to its corresponding documentation."],["`AutoMlImageObjectDetectionInputs` implements multiple interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, indicating its role in message handling and object management."],["The class includes properties such as `BudgetMilliNodeHours` to manage the training time budget and `DisableEarlyStopping` to control whether training continues until the budget is exhausted, and `ModelType` to define the type of the model."],["The `AutoMlImageObjectDetectionInputs` class has two constructors: a default constructor and one that accepts another instance of `AutoMlImageObjectDetectionInputs` for deep cloning."]]],[]]
