Cloud AI Platform v1 API - Class AutoMlImageClassificationInputs (2.5.0) 

public sealed class AutoMlImageClassificationInputs : IMessage<AutoMlImageClassificationInputs>, IEquatable<AutoMlImageClassificationInputs>, IDeepCloneable<AutoMlImageClassificationInputs>, IBufferMessage, IMessage

Inheritance

Object > AutoMlImageClassificationInputs

Namespace

Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

AutoMlImageClassificationInputs()

public AutoMlImageClassificationInputs()

AutoMlImageClassificationInputs(AutoMlImageClassificationInputs)

public AutoMlImageClassificationInputs(AutoMlImageClassificationInputs other)
Parameter
NameDescription
otherAutoMlImageClassificationInputs

Properties

BaseModelId

public string BaseModelId { get; set; }

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.

Property Value
TypeDescription
String

BudgetMilliNodeHours

public long BudgetMilliNodeHours { get; set; }

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.

Property Value
TypeDescription
Int64

DisableEarlyStopping

public bool DisableEarlyStopping { get; set; }

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.

Property Value
TypeDescription
Boolean

ModelType

public AutoMlImageClassificationInputs.Types.ModelType ModelType { get; set; }
Property Value
TypeDescription
AutoMlImageClassificationInputs.Types.ModelType

MultiLabel

public bool MultiLabel { get; set; }

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).

Property Value
TypeDescription
Boolean