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 2025-03-21 UTC."],[[["The content focuses on the `AutoMlImageClassificationInputs` class within the Google Cloud AI Platform's .NET library, specifically version 2.9.0, which is part of the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` namespace."],["This class, `AutoMlImageClassificationInputs`, is used for configuring AutoML image classification training jobs, providing settings such as the base model ID, training budget, early stopping behavior, model type, and multi-label classification options."],["The documentation offers an overview of the `AutoMlImageClassificationInputs` class, including its inheritance from `Object` and implementation of several interfaces like `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["A list of all versions of `AutoMlImageClassificationInputs` are given, spanning from 3.22.0 down to version 1.0.0, allowing users to navigate to documentation for each individual release."],["The documentation describes each property of the class, such as `BaseModelId`, `BudgetMilliNodeHours`, `DisableEarlyStopping`, `ModelType`, and `MultiLabel`, detailing their purpose, type, and constraints, including the limitations on the usage of `BudgetMilliNodeHours`."]]],[]]
