public static interface StudySpec.ConvexAutomatedStoppingSpecOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
String |
getLearningRateParameterName()
The hyper-parameter name used in the tuning job that stands for learning
rate.
|
com.google.protobuf.ByteString |
getLearningRateParameterNameBytes()
The hyper-parameter name used in the tuning job that stands for learning
rate.
|
long |
getMaxStepCount()
Steps used in predicting the final objective for early stopped trials.
|
long |
getMinMeasurementCount()
The minimal number of measurements in a Trial.
|
long |
getMinStepCount()
Minimum number of steps for a trial to complete.
|
boolean |
getUseElapsedDuration()
This bool determines whether or not the rule is applied based on
elapsed_secs or steps.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneoflong 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;long getMinStepCount()
Minimum number of steps for a trial to complete. Trials which do not have a measurement with step_count > min_step_count 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_step_count is set to be one-tenth of the max_step_count. When use_elapsed_duration is true, this field is set to the minimum elapsed seconds.
int64 min_step_count = 2;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;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;com.google.protobuf.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;boolean getUseElapsedDuration()
This bool determines whether or not the rule is applied based on elapsed_secs or steps. If use_elapsed_duration==false, the early stopping decision is made according to the predicted objective values according to the target steps. If use_elapsed_duration==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.
bool use_elapsed_duration = 5;Copyright © 2022 Google LLC. All rights reserved.