Class RegressionMetrics

Evaluation metrics for regression and explicit feedback type matrix factorization models.

Inheritance

object

RegressionMetrics

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.Bigquery.v2.Data

Assembly: Google.Apis.Bigquery.v2.dll

Syntax

public class RegressionMetrics : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

MeanAbsoluteError

Mean absolute error.

Declaration

[JsonProperty("meanAbsoluteError")]
public virtual double? MeanAbsoluteError { get; set; }

Property Value

Type	Description
double?

MeanSquaredError

Mean squared error.

Declaration

[JsonProperty("meanSquaredError")]
public virtual double? MeanSquaredError { get; set; }

Property Value

Type	Description
double?

MeanSquaredLogError

Mean squared log error.

Declaration

[JsonProperty("meanSquaredLogError")]
public virtual double? MeanSquaredLogError { get; set; }

Property Value

Type	Description
double?

MedianAbsoluteError

Median absolute error.

Declaration

[JsonProperty("medianAbsoluteError")]
public virtual double? MedianAbsoluteError { get; set; }

Property Value

Type	Description
double?

RSquared

R^2 score. This corresponds to r2_score in ML.EVALUATE.

Declaration

[JsonProperty("rSquared")]
public virtual double? RSquared { get; set; }

Property Value

Type	Description
double?

Implements

IDirectResponseSchema