public class LinearDiscriminant extends AbstractRegressor<Vectorizable> implements Vectorizable, VectorInputEvaluator<Vectorizable,java.lang.Double>
Modifier and Type | Field and Description |
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protected Vector |
weightVector
Weight Vector to dot-product with the input
|
Constructor and Description |
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LinearDiscriminant()
Creates a new instance of LinearClassifier
|
LinearDiscriminant(Vector weightVector)
Creates a new instance of LinearClassifier
|
Modifier and Type | Method and Description |
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LinearDiscriminant |
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. |
void |
convertFromVector(Vector parameters)
Converts the object from a Vector of parameters.
|
Vector |
convertToVector()
Converts the object to a vector.
|
double |
evaluateAsDouble(Vectorizable input)
Evaluates the scalar function as a double.
|
int |
getInputDimensionality()
Gets the expected dimensionality of the input vector to the evaluator,
if it is known.
|
Vector |
getWeightVector()
Getter for weightVector
|
void |
setWeightVector(Vector weightVector)
Setter for weightVector
|
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
evaluate
protected Vector weightVector
public LinearDiscriminant()
public LinearDiscriminant(Vector weightVector)
weightVector
- Weight Vector to dot-product with the inputpublic LinearDiscriminant 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 Vectorizable
clone
in interface CloneableSerializable
clone
in class AbstractCloneableSerializable
public int getInputDimensionality()
VectorInputEvaluator
getInputDimensionality
in interface VectorInputEvaluator<Vectorizable,java.lang.Double>
public Vector getWeightVector()
public void setWeightVector(Vector weightVector)
weightVector
- Weight Vector to dot-product with the inputpublic double evaluateAsDouble(Vectorizable input)
ScalarFunction
evaluateAsDouble
in interface ScalarFunction<Vectorizable>
input
- The input value.public Vector convertToVector()
Vectorizable
convertToVector
in interface Vectorizable
public void convertFromVector(Vector parameters)
Vectorizable
convertFromVector
in interface Vectorizable
parameters
- The parameters to incorporate.