Class GoogleCloudAiplatformV1StratifiedSplit

Assigns input data to the training, validation, and test sets so that the distribution of values found in the categorical column (as specified by the key field) is mirrored within each split. The fraction values determine the relative sizes of the splits. For example, if the specified column has three values, with 50% of the rows having value "A", 25% value "B", and 25% value "C", and the split fractions are specified as 80/10/10, then the training set will constitute 80% of the training data, with about 50% of the training set rows having the value "A" for the specified column, about 25% having the value "B", and about 25% having the value "C". Only the top 500 occurring values are used; any values not in the top 500 values are randomly assigned to a split. If less than three rows contain a specific value, those rows are randomly assigned. Supported only for tabular Datasets.

Inheritance

object

GoogleCloudAiplatformV1StratifiedSplit

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Aiplatform.v1.Data

Assembly: Google.Apis.Aiplatform.v1.dll

Syntax

public class GoogleCloudAiplatformV1StratifiedSplit : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

Key

Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.

Declaration

[JsonProperty("key")]
public virtual string Key { get; set; }

Property Value

Type	Description
string

TestFraction

The fraction of the input data that is to be used to evaluate the Model.

Declaration

[JsonProperty("testFraction")]
public virtual double? TestFraction { get; set; }

Property Value

Type	Description
double?

TrainingFraction

The fraction of the input data that is to be used to train the Model.

Declaration

[JsonProperty("trainingFraction")]
public virtual double? TrainingFraction { get; set; }

Property Value

Type	Description
double?

ValidationFraction

The fraction of the input data that is to be used to validate the Model.

Declaration

[JsonProperty("validationFraction")]
public virtual double? ValidationFraction { get; set; }

Property Value

Type	Description
double?

Implements

IDirectResponseSchema