Cloud AI Platform v1beta1 API - Class TimestampSplit (1.0.0-beta06)

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

Reference documentation and code samples for the Cloud AI Platform v1beta1 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.

Inheritance

object > TimestampSplit

Implements

IMessage TimestampSplit, IEquatable TimestampSplit, IDeepCloneable TimestampSplit, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.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`