SgdSvm

java.lang.Object
- edu.iu.dsc.tws.examples.ml.svm.sgd.SgdSvm

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

PegasosSgdSvm
```
public abstract class SgdSvm
extends java.lang.Object
implements java.io.Serializable
```
See Also:

Serialized Form

Field Summary

Fields
Modifier and Type	Field and Description
`protected double`	`alpha`
`protected long`	`dataLoadingTime`
`protected int`	`features`
`protected boolean`	`isInvalid`
`protected int`	`iterations`
`protected int`	`samples`
`protected long`	`testingTime`
`protected long`	`trainingTime`
`protected double[]`	`w`
`protected double[]`	`x`
`protected double[][]`	`xBatch`
`protected double`	`y`
`protected double[]`	`yBatch`

Constructor Summary

Constructors
Constructor and Description
`SgdSvm(double[] w, double[][] x, double[] y, double alpha, int iterations)` This constructor is initialized for Batch based SGD SVM
`SgdSvm(double[] x, double y, double alpha, int iterations)`
`SgdSvm(double[] w, double alpha, int iterations, int features)` This constructor is initialized for Streaming based SGD SVM

Method Summary

All Methods Instance Methods Abstract Methods Concrete Methods Deprecated Methods
Modifier and Type	Method and Description
`double[]`	`getW()`
`abstract void`	`iterativeSgd(double[] w1, double[][] x1, double[] y1)`
`abstract void`	`iterativeTaskSgd(double[] w1, double[][] x1, double[] y1)`
`abstract <T> void`	`onlineDynamicSGD(T[] w1, T[] x1, T y1)`
`abstract void`	`onlineSGD(double[] w1, double[] x1, double y1)`
`void`	`setW(double[] w)`
`abstract void`	`sgd()` Deprecated. method Use iterativeSGD for batch mode training Use onlineSGD for streaming mode training

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

Field Detail

x
```
protected double[] x
```

y
```
protected double y
```

xBatch
```
protected double[][] xBatch
```

yBatch
```
protected double[] yBatch
```

alpha
```
protected double alpha
```

features
```
protected int features
```

samples
```
protected int samples
```

isInvalid
```
protected boolean isInvalid
```

w
```
protected double[] w
```

iterations
```
protected int iterations
```

trainingTime
```
protected long trainingTime
```

testingTime
```
protected long testingTime
```

dataLoadingTime
```
protected long dataLoadingTime
```

Constructor Detail
- SgdSvm
```
public SgdSvm(double[] x,
              double y,
              double alpha,
              int iterations)
```
- SgdSvm
```
public SgdSvm(double[] w,
              double[][] x,
              double[] y,
              double alpha,
              int iterations)
```
  This constructor is initialized for Batch based SGD SVM
  
  Parameters:
  
  w - initial weights (random Gaussian Distribution)
  
  x - data points
  
  y - labels for corresponding data points
  
  alpha - learning rate : default = 0.001
  
  iterations - number of iterations to run the SGD SVM
- SgdSvm
```
public SgdSvm(double[] w,
              double alpha,
              int iterations,
              int features)
```
  This constructor is initialized for Streaming based SGD SVM
  
  Parameters:
  
  w - initial weight
  
  alpha - learning rate : default 0.001
  
  iterations - number of iterations
  
  features - number of features in a data point

Method Detail

sgd

@Deprecated
public abstract void sgd()
                              throws NullDataSetException,
                                     MatrixMultiplicationException

Deprecated. method Use iterativeSGD for batch mode training Use onlineSGD for streaming mode training

This method is deprecated

Throws:: NullDataSetException; MatrixMultiplicationException

iterativeSgd

public abstract void iterativeSgd(double[] w1,
                                  double[][] x1,
                                  double[] y1)
                           throws NullDataSetException,
                                  MatrixMultiplicationException

Throws:: NullDataSetException; MatrixMultiplicationException

iterativeTaskSgd

public abstract void iterativeTaskSgd(double[] w1,
                                      double[][] x1,
                                      double[] y1)
                               throws NullDataSetException,
                                      MatrixMultiplicationException

Throws:: NullDataSetException; MatrixMultiplicationException

onlineSGD

public abstract void onlineSGD(double[] w1,
                               double[] x1,
                               double y1)
                        throws NullDataSetException,
                               MatrixMultiplicationException

Throws:: NullDataSetException; MatrixMultiplicationException

onlineDynamicSGD

public abstract <T> void onlineDynamicSGD(T[] w1,
                                          T[] x1,
                                          T y1)

getW
```
public double[] getW()
```

setW
```
public void setW(double[] w)
```

Class SgdSvm

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

x

y

xBatch

yBatch

alpha

features

samples

isInvalid

w

iterations

trainingTime

testingTime

dataLoadingTime

Constructor Detail

SgdSvm

SgdSvm

SgdSvm

Method Detail

sgd

iterativeSgd

iterativeTaskSgd

onlineSGD

onlineDynamicSGD

getW

setW