LearnerType
- Type of the learning algorithm contained in the object.public class AbstractBatchLearnerContainer<LearnerType extends BatchLearner<?,?>> extends AbstractCloneableSerializable implements BatchLearnerContainer<LearnerType>
Modifier and Type | Field and Description |
---|---|
protected LearnerType |
learner
The wrapped learner.
|
Constructor and Description |
---|
AbstractBatchLearnerContainer()
Creates a new
AbstractBatchLearnerWrapper with a null learner. |
AbstractBatchLearnerContainer(LearnerType learner)
Creates a new
AbstractBatchLearnerWrapper with the given learner. |
Modifier and Type | Method and Description |
---|---|
AbstractBatchLearnerContainer<LearnerType> |
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. |
LearnerType |
getLearner()
Gets the wrapped learner.
|
void |
setLearner(LearnerType learner)
Sets the wrapped learner.
|
protected LearnerType extends BatchLearner<?,?> learner
public AbstractBatchLearnerContainer()
AbstractBatchLearnerWrapper
with a null learner.public AbstractBatchLearnerContainer(LearnerType learner)
AbstractBatchLearnerWrapper
with the given learner.learner
- The wrapped learner.public AbstractBatchLearnerContainer<LearnerType> clone()
AbstractCloneableSerializable
Object
class and
removes the exception that it throws. Its default behavior is to
automatically create a clone of the exact type of object that the
clone is called on and to copy all primitives but to keep all references,
which means it is a shallow copy.
Extensions of this class may want to override this method (but call
super.clone()
to implement a "smart copy". That is, to target
the most common use case for creating a copy of the object. Because of
the default behavior being a shallow copy, extending classes only need
to handle fields that need to have a deeper copy (or those that need to
be reset). Some of the methods in ObjectUtil
may be helpful in
implementing a custom clone method.
Note: The contract of this method is that you must use
super.clone()
as the basis for your implementation.clone
in interface CloneableSerializable
clone
in class AbstractCloneableSerializable
public LearnerType getLearner()
getLearner
in interface BatchLearnerContainer<LearnerType extends BatchLearner<?,?>>
public void setLearner(LearnerType learner)
learner
- The wrapped learner.