public class LinearDiscriminantWithBias extends LinearDiscriminant
| Modifier and Type | Field and Description |
|---|---|
protected double |
bias
Bias term that gets added to the output of the dot product.
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weightVector| Constructor and Description |
|---|
LinearDiscriminantWithBias()
Creates a new instance of LinearDiscriminantWithBias
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LinearDiscriminantWithBias(Vector weightVector)
Creates a new instance of LinearClassifier
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LinearDiscriminantWithBias(Vector weightVector,
double bias)
Creates a new instance of LinearClassifier
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| Modifier and Type | Method and Description |
|---|---|
LinearDiscriminantWithBias |
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.
|
double |
getBias()
Getter for bias.
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void |
setBias(double bias)
Setter for bias.
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getInputDimensionality, getWeightVector, setWeightVectorequals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitevaluatepublic LinearDiscriminantWithBias()
public LinearDiscriminantWithBias(Vector weightVector)
weightVector - Weight Vector to dot-product with the inputpublic LinearDiscriminantWithBias(Vector weightVector, double bias)
weightVector - Weight Vector to dot-product with the inputbias - Bias term that gets added to the output of the dot product.public LinearDiscriminantWithBias 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 Vectorizableclone in interface CloneableSerializableclone in class LinearDiscriminantpublic double getBias()
public void setBias(double bias)
bias - Bias term that gets added to the output of the dot product.public double evaluateAsDouble(Vectorizable input)
ScalarFunctionevaluateAsDouble in interface ScalarFunction<Vectorizable>evaluateAsDouble in class LinearDiscriminantinput - The input value.public Vector convertToVector()
VectorizableconvertToVector in interface VectorizableconvertToVector in class LinearDiscriminantpublic void convertFromVector(Vector parameters)
VectorizableconvertFromVector in interface VectorizableconvertFromVector in class LinearDiscriminantparameters - The parameters to incorporate.