public static enum ParallelWrapper.TrainingMode extends Enum<ParallelWrapper.TrainingMode>
| Enum Constant and Description |
|---|
AVERAGING
Averaging every X epochs will be applied
|
CUSTOM
This option assumes use of GradientsAccumulator with any MessageHandler
|
SHARED_GRADIENTS
Models within ParallelWrapper instance will share gradients updates
|
| Modifier and Type | Method and Description |
|---|---|
static ParallelWrapper.TrainingMode |
valueOf(String name)
Returns the enum constant of this type with the specified name.
|
static ParallelWrapper.TrainingMode[] |
values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
public static final ParallelWrapper.TrainingMode AVERAGING
public static final ParallelWrapper.TrainingMode SHARED_GRADIENTS
public static final ParallelWrapper.TrainingMode CUSTOM
public static ParallelWrapper.TrainingMode[] values()
for (ParallelWrapper.TrainingMode c : ParallelWrapper.TrainingMode.values()) System.out.println(c);
public static ParallelWrapper.TrainingMode valueOf(String name)
name - the name of the enum constant to be returned.IllegalArgumentException - if this enum type has no constant with the specified nameNullPointerException - if the argument is nullCopyright © 2017. All rights reserved.