StudySpec_ConvexStopConfig class final

Configuration for ConvexStopPolicy.

Constructors

StudySpec_ConvexStopConfig({int maxNumSteps = 0, int minNumSteps = 0, int autoregressiveOrder = 0, String learningRateParameterName = '', bool useSeconds = false})

StudySpec_ConvexStopConfig.fromJson(Object? j)

factory

Properties

autoregressiveOrder → int

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.

final

hashCode → int

The hash code for this object.

no setter, inherited

learningRateParameterName → String

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.

final

maxNumSteps → int

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.

final

minNumSteps → int

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.

final

qualifiedName → String

The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.

final, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

useSeconds → bool

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.

final

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toJson() → Object

toString() → String

A string representation of this object.

override

Operators

operator ==(Object other) → bool

The equality operator.

inherited

Constants

fullyQualifiedName → const String