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 webpage provides documentation for the `AutoMlImageObjectDetectionInputs` class within the `Google.Cloud.AIPlatform.V1` library, specifically focusing on its usage in defining training jobs for image object detection models."],["The documentation covers a range of versions from 1.0.0 to 3.22.0, with 3.22.0 being the latest, offering users access to past and present documentation and an option to choose which version they prefer to use."],["`AutoMlImageObjectDetectionInputs` implements multiple interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, indicating its role in data handling, comparison, and deep cloning."],["The class includes properties like `BudgetMilliNodeHours`, `DisableEarlyStopping`, and `ModelType`, allowing users to configure the training process, such as setting a training budget and determining if early stopping is enabled."],["The documentation outlines details about the object class, including the ability to create `AutoMlImageObjectDetectionInputs` using both a parameterless constructor and a constructor which takes in another instance of the same class."]]],[]]
