Class BqmlIterationResult
Inheritance
Implements
Inherited Members
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 |
---|---|
System.Nullable<System.Int64> |
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
System.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 |
---|---|
System.Nullable<System.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 |
---|---|
System.Nullable<System.Int32> |
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 |
---|---|
System.Nullable<System.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 |
---|---|
System.Nullable<System.Double> |