Class BqmlIterationResult

Inheritance
object
BqmlIterationResult
Implements
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 BqmlIterationResult : IDirectResponseSchema

Properties

DurationMs

[Output-only, Beta] Time taken to run the training iteration in milliseconds.

Declaration
[JsonProperty("durationMs")]
public virtual long? DurationMs { get; set; }
Property Value
Type Description
long?

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

EvalLoss

[Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.

Declaration
[JsonProperty("evalLoss")]
public virtual double? EvalLoss { get; set; }
Property Value
Type Description
double?

Index

[Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.

Declaration
[JsonProperty("index")]
public virtual int? Index { get; set; }
Property Value
Type Description
int?

LearnRate

[Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.

Declaration
[JsonProperty("learnRate")]
public virtual double? LearnRate { get; set; }
Property Value
Type Description
double?

TrainingLoss

[Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.

Declaration
[JsonProperty("trainingLoss")]
public virtual double? TrainingLoss { get; set; }
Property Value
Type Description
double?

Implements