TSMKL

java.lang.Object
- fr.lip6.jkernelmachines.classifier.TSMKL<T>

All Implemented Interfaces:

Classifier<T>, KernelSVM<T>, MKL<T>, java.lang.Cloneable
```
public class TSMKL<T>
extends java.lang.Object
implements KernelSVM<T>, MKL<T>
```
Implementation of the Two-Stages MKL solver by Abhishek Kumar et al.
This is a original implementation using the tools available in JKernelMachines, and not a Java conversion of the original matlab code.

A Binary Classification Framework for Two-Stage Multiple Kernel Learning
Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcoglu, Hal Daumé,
ICML 2012.

Author:

David Picard

Constructor Summary

Constructors
Constructor and Description

TSMKL()

Constructors
Constructor and Description
`TSMKL()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`addKernel(Kernel<T> k)` Adds a kernel to the combination
`TSMKL<T>`	`copy()` Creates and returns a copy of this object.
`double[]`	`getAlphas()` Tells the weights of training samples
`double`	`getC()` Tells the hyperparameter C
`Kernel<T>`	`getKernel()` Tells the current Kernel.
`java.util.List<Kernel<T>>`	`getKernels()` Return the list of kernels used by this MKL algorithm
`java.util.Map<Kernel<T>,java.lang.Double>`	`getKernelWeightMap()` Gets a mapping of pairs containing the kernels and weights in the set.
`double[]`	`getKernelWeights()` tells the weights of the kernel combination
`void`	`setC(double c)` Sets the hyperparameter C
`void`	`setKernel(Kernel<T> k)` Sets the kernel to use as similarity measure
`void`	`train(java.util.List<TrainingSample<T>> l)` Replace the current training list and train the classifier
`double`	`valueOf(T e)` Computes the category of the provided example

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - TSMKL
```
public TSMKL()
```
- Method Detail
  - train
```
public void train(java.util.List<TrainingSample<T>> l)
```
    Description copied from interface: Classifier
    
    Replace the current training list and train the classifier
    
    Specified by:
    
    train in interface Classifier<T>
    
    Parameters:
    
    l - list of training samples
  - valueOf
```
public double valueOf(T e)
```
    Description copied from interface: Classifier
    
    Computes the category of the provided example
    
    Specified by:
    
    valueOf in interface Classifier<T>
    
    Parameters:
    
    e - example
    
    Returns:
    
    >0. if e belongs to the category, <0. if not.
  - addKernel
```
public void addKernel(Kernel<T> k)
```
    Adds a kernel to the combination
    
    Specified by:
    
    addKernel in interface MKL<T>
    
    Parameters:
    
    k - the kernel to add
  - copy
```
public TSMKL<T> copy()
              throws java.lang.CloneNotSupportedException
```
    Description copied from interface: Classifier
    
    Creates and returns a copy of this object.
    
    Specified by:
    
    copy in interface Classifier<T>
    
    Throws:
    
    java.lang.CloneNotSupportedException
    
    See Also:
    
    Object.clone()
  - setKernel
```
public void setKernel(Kernel<T> k)
```
    Description copied from interface: KernelSVM
    
    Sets the kernel to use as similarity measure
    
    Specified by:
    
    setKernel in interface KernelSVM<T>
    
    Parameters:
    
    k - the kernel function
  - getAlphas
```
public double[] getAlphas()
```
    Description copied from interface: KernelSVM
    
    Tells the weights of training samples
    
    Specified by:
    
    getAlphas in interface KernelSVM<T>
    
    Returns:
    
    an array of double representing the weights
  - setC
```
public void setC(double c)
```
    Description copied from interface: KernelSVM
    
    Sets the hyperparameter C
    
    Specified by:
    
    setC in interface KernelSVM<T>
    
    Parameters:
    
    c - the hyperparameter C
  - getC
```
public double getC()
```
    Description copied from interface: KernelSVM
    
    Tells the hyperparameter C
    
    Specified by:
    
    getC in interface KernelSVM<T>
    
    Returns:
    
    the hyperparameter C
  - getKernelWeights
```
public double[] getKernelWeights()
```
    tells the weights of the kernel combination
    
    Specified by:
    
    getKernelWeights in interface MKL<T>
    
    Returns:
    
    the weights of the kernels
  - getKernels
```
public java.util.List<Kernel<T>> getKernels()
```
    Return the list of kernels used by this MKL algorithm
    
    Specified by:
    
    getKernels in interface MKL<T>
    
    Returns:
    
    kernels
  - getKernelWeightMap
```
public java.util.Map<Kernel<T>,java.lang.Double> getKernelWeightMap()
```
    Description copied from interface: MKL
    
    Gets a mapping of pairs containing the kernels and weights in the set.
    
    Specified by:
    
    getKernelWeightMap in interface MKL<T>
    
    Returns:
    
    the map of pairs
  - getKernel
```
public Kernel<T> getKernel()
```
    Description copied from interface: KernelSVM
    
    Tells the current Kernel.
    
    Specified by:
    
    getKernel in interface KernelSVM<T>
    
    Returns:
    
    the current kernel

Class TSMKL<T>

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

TSMKL

Method Detail

train

valueOf

addKernel

copy

setKernel

getAlphas

setC

getC

getKernelWeights

getKernels

getKernelWeightMap

getKernel