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 used within Google Cloud's AI Platform for defining training job inputs, ranging from version 1.0.0 to the latest 3.22.0."],["`AutoMlImageObjectDetectionInputs` implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, to support various functionalities like message handling, comparison, deep cloning, and buffer manipulation."],["The class `AutoMlImageObjectDetectionInputs` includes constructors for creating new instances and accepts parameters such as another `AutoMlImageObjectDetectionInputs` instance for duplication."],["Key properties within the class include `BudgetMilliNodeHours`, which defines the training budget in milli node hours with specific ranges for different model types, and `DisableEarlyStopping`, a boolean that controls whether the training should utilize the full budget or stop early if no improvement is made."],["The `ModelType` property allows users to specify the type of model to train, with options available via the enum `AutoMlImageObjectDetectionInputs.Types.ModelType`."]]],[]]
