The median automated stopping rule stops a pending trial if the trial's best objective_value is strictly below the median 'performance' of all completed trials reported up to the trial's last measurement. Currently, 'performance' refers to the running average of the objective values reported by the trial in each measurement. More...
Properties | |
| virtual System.Nullable< bool > | UseElapsedTime [get, set] |
| True if median automated stopping rule applies on measurement.use_elapsed_time. it means that elapsed_time field of latest measurement of current trial is used to compute median objective value for each completed trials. More... | |
| virtual string | ETag [get, set] |
| The ETag of the item. More... | |
 Properties inherited from Google::Apis::Requests::IDirectResponseSchema | |
| string | ETag |
Detailed Description
The median automated stopping rule stops a pending trial if the trial's best objective_value is strictly below the median 'performance' of all completed trials reported up to the trial's last measurement. Currently, 'performance' refers to the running average of the objective values reported by the trial in each measurement.
Property Documentation
◆ ETag
|
getset |
The ETag of the item.
◆ UseElapsedTime
|
getset |
True if median automated stopping rule applies on measurement.use_elapsed_time. it means that elapsed_time field of latest measurement of current trial is used to compute median objective value for each completed trials.
The documentation for this class was generated from the following file:
- Google.Apis.CloudMachineLearningEngine.v1.cs
