Class XPSTablesModelColumnInfo

An information specific to given column and Tables Model, in context of the Model and the predictions created by it.

Inheritance

object

XPSTablesModelColumnInfo

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.CloudNaturalLanguage.v2.Data

Assembly: Google.Apis.CloudNaturalLanguage.v2.dll

Syntax

public class XPSTablesModelColumnInfo : IDirectResponseSchema

Properties

ColumnId

The ID of the column.

Declaration

[JsonProperty("columnId")]
public virtual int? ColumnId { get; set; }

Property Value

Type	Description
int?

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

FeatureImportance

When given as part of a Model: Measurement of how much model predictions correctness on the TEST data depend on values in this column. A value between 0 and 1, higher means higher influence. These values are normalized - for all input feature columns of a given model they add to 1. When given back by Predict or Batch Predict: Measurement of how impactful for the prediction returned for the given row the value in this column was. Specifically, the feature importance specifies the marginal contribution that the feature made to the prediction score compared to the baseline score. These values are computed using the Sampled Shapley method.

Declaration

[JsonProperty("featureImportance")]
public virtual float? FeatureImportance { get; set; }

Property Value

Type	Description
float?

Implements

IDirectResponseSchema