java.lang.Object
- weka.classifiers.Classifier
- - weka.classifiers.functions.SimpleLinearRegression

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, CapabilitiesHandler, OptionHandler, RevisionHandler, WeightedInstancesHandler
```
public class SimpleLinearRegression
extends Classifier
implements WeightedInstancesHandler
```
Learns a simple linear regression model. Picks the attribute that results in the lowest squared error. Missing values are not allowed. Can only deal with numeric attributes.
Valid options are:
```
 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
```
Version:

$Revision: 5523 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

SimpleLinearRegression()

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`buildClassifier(Instances insts)`	Builds a simple linear regression model given the supplied training data.
`double`	`classifyInstance(Instance inst)`	Generate a prediction for the supplied instance.
`boolean`	`foundUsefulAttribute()`	Returns true if a usable attribute was found.
`int`	`getAttributeIndex()`	Returns the index of the attribute used in the regression.
`Capabilities`	`getCapabilities()`	Returns default capabilities of the classifier.
`double`	`getIntercept()`	Returns the intercept of the function.
`java.lang.String`	`getRevision()`	Returns the revision string.
`double`	`getSlope()`	Returns the slope of the function.
`java.lang.String`	`globalInfo()`	Returns a string describing this classifier
`static void`	`main(java.lang.String[] argv)`	Main method for testing this class
`void`	`setSuppressErrorMessage(boolean s)`	Turn off the error message that is reported when no useful attribute is found.
`java.lang.String`	`toString()`	Returns a description of this classifier as a string

Methods inherited from class weka.classifiers.Classifier
debugTipText, distributionForInstance, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions

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

- Constructor Detail
  - SimpleLinearRegression
```
public SimpleLinearRegression()
```
- Method Detail
  - globalInfo
```
public java.lang.String globalInfo()
```
    Returns a string describing this classifier
    
    Returns:
    
    a description of the classifier suitable for displaying in the explorer/experimenter gui
  - classifyInstance
```
public double classifyInstance(Instance inst)
                        throws java.lang.Exception
```
    Generate a prediction for the supplied instance.
    
    Overrides:
    
    classifyInstance in class Classifier
    
    Parameters:
    
    inst - the instance to predict.
    
    Returns:
    
    the prediction
    
    Throws:
    
    java.lang.Exception - if an error occurs
  - getCapabilities
```
public Capabilities getCapabilities()
```
    Returns default capabilities of the classifier.
    
    Specified by:
    
    getCapabilities in interface CapabilitiesHandler
    
    Overrides:
    
    getCapabilities in class Classifier
    
    Returns:
    
    the capabilities of this classifier
    
    See Also:
    
    Capabilities
  - buildClassifier
```
public void buildClassifier(Instances insts)
                     throws java.lang.Exception
```
    Builds a simple linear regression model given the supplied training data.
    
    Specified by:
    
    buildClassifier in class Classifier
    
    Parameters:
    
    insts - the training data.
    
    Throws:
    
    java.lang.Exception - if an error occurs
  - foundUsefulAttribute
```
public boolean foundUsefulAttribute()
```
    Returns true if a usable attribute was found.
    
    Returns:
    
    true if a usable attribute was found.
  - getAttributeIndex
```
public int getAttributeIndex()
```
    Returns the index of the attribute used in the regression.
    
    Returns:
    
    the index of the attribute.
  - getSlope
```
public double getSlope()
```
    Returns the slope of the function.
    
    Returns:
    
    the slope.
  - getIntercept
```
public double getIntercept()
```
    Returns the intercept of the function.
    
    Returns:
    
    the intercept.
  - setSuppressErrorMessage
```
public void setSuppressErrorMessage(boolean s)
```
    Turn off the error message that is reported when no useful attribute is found.
    
    Parameters:
    
    s - if set to true turns off the error message
  - toString
```
public java.lang.String toString()
```
    Returns a description of this classifier as a string
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    a description of the classifier.
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Overrides:
    
    getRevision in class Classifier
    
    Returns:
    
    the revision
  - main
```
public static void main(java.lang.String[] argv)
```
    Main method for testing this class
    
    Parameters:
    
    argv - options

Class SimpleLinearRegression

Constructor Summary

Method Summary

Methods inherited from class weka.classifiers.Classifier

Methods inherited from class java.lang.Object

Constructor Detail

SimpleLinearRegression

Method Detail

globalInfo

classifyInstance

getCapabilities

buildClassifier

foundUsefulAttribute

getAttributeIndex

getSlope

getIntercept

setSuppressErrorMessage

toString

getRevision

main