- 3.13.0 (latest)
- 3.12.0
- 3.11.0
- 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 TimestampSplit : IMessage<TimestampSplit>, IEquatable<TimestampSplit>, IDeepCloneable<TimestampSplit>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1 API class TimestampSplit.
Assigns input data to training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set.
Supported only for tabular Datasets.
Implements
IMessageTimestampSplit, IEquatableTimestampSplit, IDeepCloneableTimestampSplit, IBufferMessage, IMessageNamespace
GoogleCloudGoogle.Cloud.AIPlatformV1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
TimestampSplit()
public TimestampSplit()
TimestampSplit(TimestampSplit)
public TimestampSplit(TimestampSplit other)
Parameter | |
---|---|
Name | Description |
other | TimestampSplit |
Properties
Key
public string Key { get; set; }
Required. The key is a name of one of the Dataset's data columns.
The values of the key (the values in the column) must be in RFC 3339
date-time
format, where time-offset
= "Z"
(e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
present or has an invalid value, that piece is ignored by the pipeline.
Property Value | |
---|---|
Type | Description |
string |
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 |