Interface StudySpec.ConvexAutomatedStoppingSpecOrBuilder (3.33.0)

public static interface StudySpec.ConvexAutomatedStoppingSpecOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getLearningRateParameterName()

public abstract String getLearningRateParameterName()

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.

string learning_rate_parameter_name = 4;

Returns
Type Description
String

The learningRateParameterName.

getLearningRateParameterNameBytes()

public abstract ByteString getLearningRateParameterNameBytes()

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.

string learning_rate_parameter_name = 4;

Returns
Type Description
ByteString

The bytes for learningRateParameterName.

getMaxStepCount()

public abstract long getMaxStepCount()

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. If not defined, it will learn it from the completed trials. When use_steps is false, this field is set to the maximum elapsed seconds.

int64 max_step_count = 1;

Returns
Type Description
long

The maxStepCount.

getMinMeasurementCount()

public abstract long getMinMeasurementCount()

The minimal number of measurements in a Trial. Early-stopping checks will not trigger if less than min_measurement_count+1 completed trials or pending trials with less than min_measurement_count measurements. If not defined, the default value is 5.

int64 min_measurement_count = 3;

Returns
Type Description
long

The minMeasurementCount.

getMinStepCount()

public abstract