@PublicationReference(author="Wikipedia", title="Linear discriminant analysis", type=WebPage, year=2009, url="http://en.wikipedia.org/wiki/Linear_discriminant_analysis#Fisher.27s_linear_discriminant") public class FisherLinearDiscriminantBinaryCategorizer extends ScalarFunctionToBinaryCategorizerAdapter<Vector>
| Modifier and Type | Class and Description |
|---|---|
static class |
FisherLinearDiscriminantBinaryCategorizer.ClosedFormSolver
This class implements a closed form solver for the Fisher linear
discriminant binary categorizer.
|
evaluatorDEFAULT_THRESHOLDBINARY_CATEGORIES| Constructor and Description |
|---|
FisherLinearDiscriminantBinaryCategorizer()
Default constructor
|
FisherLinearDiscriminantBinaryCategorizer(LinearDiscriminant discriminant,
double threshold)
Creates a new of
FisherLinearDiscriminantBinaryCategorizer. |
FisherLinearDiscriminantBinaryCategorizer(Vector weightVector,
double threshold)
Creates a new of
FisherLinearDiscriminantBinaryCategorizer. |
| Modifier and Type | Method and Description |
|---|---|
FisherLinearDiscriminantBinaryCategorizer |
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. |
evaluateWithoutThreshold, getEvaluator, setEvaluatorevaluateAsDouble, getThreshold, setThresholdevaluate, evaluateWithDiscriminantgetCategoriesequals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitevaluateWithDiscriminantgetCategoriespublic FisherLinearDiscriminantBinaryCategorizer()
public FisherLinearDiscriminantBinaryCategorizer(Vector weightVector, double threshold)
FisherLinearDiscriminantBinaryCategorizer.weightVector - The weight vector.threshold - The threshold.public FisherLinearDiscriminantBinaryCategorizer(LinearDiscriminant discriminant, double threshold)
FisherLinearDiscriminantBinaryCategorizer.discriminant - The linear discriminant to use.threshold - The threshold.public FisherLinearDiscriminantBinaryCategorizer clone()
AbstractCloneableSerializableObject 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 CloneableSerializableclone in class ScalarFunctionToBinaryCategorizerAdapter<Vector>