- 3.11.0 (latest)
- 3.10.0
- 3.9.0
- 3.8.0
- 3.7.0
- 3.6.0
- 3.5.0
- 3.4.0
- 3.3.0
- 3.2.0
- 3.1.0
- 3.0.0
- 2.28.0
- 2.27.0
- 2.26.0
- 2.25.0
- 2.24.0
- 2.23.0
- 2.22.0
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.0
- 2.2.0
- 2.1.0
- 2.0.0
- 1.8.0
- 1.7.0
- 1.6.0
- 1.5.0
- 1.4.0
- 1.3.0
- 1.2.0
- 1.1.0
- 1.0.0
public sealed class ExportFractionSplit : IMessage<ExportFractionSplit>, IEquatable<ExportFractionSplit>, IDeepCloneable<ExportFractionSplit>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1 API class ExportFractionSplit.
Assigns the input data to training, validation, and test sets as per the
given fractions. Any of training_fraction
, validation_fraction
and
test_fraction
may optionally be provided, they must sum to up to 1. If the
provided ones sum to less than 1, the remainder is assigned to sets as
decided by Vertex AI. If none of the fractions are set, by default roughly
80% of data is used for training, 10% for validation, and 10% for test.
Implements
IMessageExportFractionSplit, IEquatableExportFractionSplit, IDeepCloneableExportFractionSplit, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
ExportFractionSplit()
public ExportFractionSplit()
ExportFractionSplit(ExportFractionSplit)
public ExportFractionSplit(ExportFractionSplit other)
Parameter | |
---|---|
Name | Description |
other | ExportFractionSplit |
Properties
TestFraction
public double TestFraction { get; set; }
The fraction of the input data that is to be used to evaluate the Model.
Property Value | |
---|---|
Type | Description |
double |
TrainingFraction
public double TrainingFraction { get; set; }
The fraction of the input data that is to be used to train the Model.
Property Value | |
---|---|
Type | Description |
double |
ValidationFraction
public double ValidationFraction { get; set; }
The fraction of the input data that is to be used to validate the Model.
Property Value | |
---|---|
Type | Description |
double |