org.apache.mahout.classifier.sgd

Class AdaptiveLogisticRegression.Wrapper

java.lang.Object

org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper

All Implemented Interfaces:

org.apache.hadoop.io.Writable, Payload<CrossFoldLearner>

Enclosing class:

AdaptiveLogisticRegression

public static class AdaptiveLogisticRegression.Wrapper
extends Object
implements Payload<CrossFoldLearner>

Provides a shim between the EP optimization stuff and the CrossFoldLearner. The most important interface has to do with the parameters of the optimization. These are taken from the double[] params in the following order

• regularization constant lambda
• learningRate

. All other parameters are set in such a way so as to defeat annealing to the extent possible. This lets the evolutionary algorithm handle the annealing.

Note that per coefficient annealing is still done and no optimization of the per coefficient offset is done.

Constructor Summary

Constructors

Constructor and Description
Wrapper()
Wrapper(int numCategories, int numFeatures, PriorFunction prior)

Method Summary

Modifier and Type	Method and Description
AdaptiveLogisticRegression.Wrapper	copy()
static void	freeze(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> s)
CrossFoldLearner	getLearner()
void	readFields(DataInput input)
void	setAucEvaluator(OnlineAuc auc)
static void	setMappings(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> x)
String	toString()
void	train(AdaptiveLogisticRegression.TrainingExample example)
void	update(double[] params)
void	write(DataOutput out)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

Wrapper

public Wrapper()

Wrapper

public Wrapper(int numCategories,
               int numFeatures,
               PriorFunction prior)

Method Detail

copy

public AdaptiveLogisticRegression.Wrapper copy()

Specified by:

copy in interface Payload<CrossFoldLearner>

update

public void update(double[] params)

Specified by:

update in interface Payload<CrossFoldLearner>

freeze

public static void freeze(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> s)

setMappings

public static void setMappings(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> x)

train

public void train(AdaptiveLogisticRegression.TrainingExample example)

getLearner

public CrossFoldLearner getLearner()

toString

public String toString()

Overrides:

toString in class Object

setAucEvaluator

public void setAucEvaluator(OnlineAuc auc)

write

public void write(DataOutput out)
           throws IOException

Specified by:

write in interface org.apache.hadoop.io.Writable

Throws:

IOException

readFields

public void readFields(DataInput input)
                throws IOException

Specified by:

readFields in interface org.apache.hadoop.io.Writable

Throws:

IOException