Class GoogleCloudAiplatformV1beta1StudySpecConvexStopConfig

Configuration for ConvexStopPolicy.

Inheritance
object
GoogleCloudAiplatformV1beta1StudySpecConvexStopConfig
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1StudySpecConvexStopConfig : IDirectResponseSchema

Properties

AutoregressiveOrder

The number of Trial measurements used in autoregressive model for value prediction. A trial won't be considered early stopping if has fewer measurement points.

Declaration
[JsonProperty("autoregressiveOrder")]
public virtual long? AutoregressiveOrder { 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

LearningRateParameterName

The hyper-parameter name used in the tuning job that stands for learning rate. Leave it blank if learning rate is not in a parameter in tuning. The learning_rate is used to estimate the objective value of the ongoing trial.

Declaration
[JsonProperty("learningRateParameterName")]
public virtual string LearningRateParameterName { get; set; }
Property Value
Type Description
string

MaxNumSteps

Steps used in predicting the final objective for early stopped trials. In general, it's set to be the same as the defined steps in training / tuning. When use_steps is false, this field is set to the maximum elapsed seconds.

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

MinNumSteps

Minimum number of steps for a trial to complete. Trials which do not have a measurement with num_steps > min_num_steps won't be considered for early stopping. It's ok to set it to 0, and a trial can be early stopped at any stage. By default, min_num_steps is set to be one-tenth of the max_num_steps. When use_steps is false, this field is set to the minimum elapsed seconds.

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

UseSeconds

This bool determines whether or not the rule is applied based on elapsed_secs or steps. If use_seconds==false, the early stopping decision is made according to the predicted objective values according to the target steps. If use_seconds==true, elapsed_secs is used instead of steps. Also, in this case, the parameters max_num_steps and min_num_steps are overloaded to contain max_elapsed_seconds and min_elapsed_seconds.

Declaration
[JsonProperty("useSeconds")]
public virtual bool? UseSeconds { get; set; }
Property Value
Type Description
bool?

Implements