public static class LogisticRegression.Function extends CompositeEvaluatorPair<Vectorizable,java.lang.Double,java.lang.Double> implements Vectorizable
first, second
Constructor and Description |
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Function()
Creates a new
LogisticRegression.Function . |
Function(int dimensionality)
Creates a new instance of Function
|
Modifier and Type | Method and Description |
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LogisticRegression.Function |
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.
|
LinearDiscriminantWithBias |
getFirst()
Gets the first object.
|
LogisticDistribution.CDF |
getSecond()
Gets the second object.
|
create, evaluate
create, equals, equals, hashCode, mergeCollections, setFirst, setSecond
public Function()
LogisticRegression.Function
.public Function(int dimensionality)
dimensionality
- Dimensionality of the inputspublic LogisticRegression.Function 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 DefaultPair<Evaluator<? super Vectorizable,? extends java.lang.Double>,Evaluator<? super java.lang.Double,? extends java.lang.Double>>
public Vector convertToVector()
Vectorizable
convertToVector
in interface Vectorizable
public void convertFromVector(Vector parameters)
Vectorizable
convertFromVector
in interface Vectorizable
parameters
- The parameters to incorporate.public LinearDiscriminantWithBias getFirst()
DefaultPair
getFirst
in interface Pair<Evaluator<? super Vectorizable,? extends java.lang.Double>,Evaluator<? super java.lang.Double,? extends java.lang.Double>>
getFirst
in class DefaultPair<Evaluator<? super Vectorizable,? extends java.lang.Double>,Evaluator<? super java.lang.Double,? extends java.lang.Double>>
public LogisticDistribution.CDF getSecond()
DefaultPair
getSecond
in interface Pair<Evaluator<? super Vectorizable,? extends java.lang.Double>,Evaluator<? super java.lang.Double,? extends java.lang.Double>>
getSecond
in class DefaultPair<Evaluator<? super Vectorizable,? extends java.lang.Double>,Evaluator<? super java.lang.Double,? extends java.lang.Double>>