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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.functions.SimpleLinearRegression
public class SimpleLinearRegression
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
| Constructor Summary | |
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SimpleLinearRegression()
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| Method Summary | |
|---|---|
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 |
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debugTipText, distributionForInstance, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
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public SimpleLinearRegression()
| Method Detail |
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public java.lang.String globalInfo()
public double classifyInstance(Instance inst)
throws java.lang.Exception
classifyInstance in class Classifierinst - the instance to predict.
java.lang.Exception - if an error occurspublic Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class ClassifierCapabilities
public void buildClassifier(Instances insts)
throws java.lang.Exception
buildClassifier in class Classifierinsts - the training data.
java.lang.Exception - if an error occurspublic boolean foundUsefulAttribute()
public int getAttributeIndex()
public double getSlope()
public double getIntercept()
public void setSuppressErrorMessage(boolean s)
s - if set to true turns off the error messagepublic java.lang.String toString()
toString in class java.lang.Objectpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class Classifierpublic static void main(java.lang.String[] argv)
argv - options
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