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public static interface StudySpec.ConvexAutomatedStoppingSpecOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
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