public sealed class AutoMlImageClassificationInputs : IMessage<AutoMlImageClassificationInputs>, IEquatable<AutoMlImageClassificationInputs>, IDeepCloneable<AutoMlImageClassificationInputs>, IBufferMessage, IMessage
The ID of the base model. If it is specified, the new model will be
trained based on the base model. Otherwise, the new model will be
trained from scratch. The base model must be in the same
Project and Location as the new Model to train, and have the same
modelType.
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 8,000
and 800,000 milli node hours, inclusive. The default value is 192,000
which represents one day in wall time, considering 8 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 Classification might stop training before the entire
training budget has been used.
If false, a single-label (multi-class) Model will be trained (i.e.
assuming that for each image just up to one annotation may be
applicable). If true, a multi-label Model will be trained (i.e.
assuming that for each image multiple annotations may be applicable).
[[["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 2025-03-31 UTC."],[[["`AutoMlImageClassificationInputs` is a sealed class in the `Google.Cloud.AIPlatform.V1Beta1.Schema.TrainingJob.Definition` namespace, designed for specifying inputs for AutoML image classification training jobs."],["The class implements several interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and can be instantiated via a default constructor or a copy constructor."],["Key properties of `AutoMlImageClassificationInputs` include `BaseModelId` for specifying a base model, `BudgetMilliNodeHours` for setting the training budget, `DisableEarlyStopping` to control early stopping, `ModelType` to define the model type, and `MultiLabel` to define if it's single or multi-label."],["Training budgets are variable depending on the model type, for a cloud model, it is between 8,000 to 800,000 milli node hours, while for mobile it's between 1,000 to 100,000, and if early stopping is disabled, it will consume the entire budget."],["The class supports versioning with links to `1.0.0-beta21` as the latest and `1.0.0-beta20` for previous versions, and it's located in the `Google.Cloud.AIPlatform.V1Beta1.dll` assembly."]]],[]]
