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java.lang.Objectweka.estimators.Estimator
weka.estimators.KernelEstimator
public class KernelEstimator
Simple kernel density estimator. Uses one gaussian kernel per observed data value.
| Constructor Summary | |
|---|---|
KernelEstimator(double precision)
Constructor that takes a precision argument. |
|
| Method Summary | |
|---|---|
void |
addValue(double data,
double weight)
Add a new data value to the current estimator. |
Capabilities |
getCapabilities()
Returns default capabilities of the classifier. |
double[] |
getMeans()
Return the means of the kernels. |
int |
getNumKernels()
Return the number of kernels in this kernel estimator |
double |
getPrecision()
Return the precision of this kernel estimator. |
double |
getProbability(double data)
Get a probability estimate for a value. |
java.lang.String |
getRevision()
Returns the revision string. |
double |
getStdDev()
Return the standard deviation of this kernel estimator. |
double[] |
getWeights()
Return the weights of the kernels. |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
java.lang.String |
toString()
Display a representation of this estimator |
| Methods inherited from class weka.estimators.Estimator |
|---|
addValues, addValues, addValues, addValues, buildEstimator, buildEstimator, clone, debugTipText, equals, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions, testCapabilities |
| Methods inherited from class java.lang.Object |
|---|
getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public KernelEstimator(double precision)
precision - the precision to which numeric values are given. For
example, if the precision is stated to be 0.1, the values in the
interval (0.25,0.35] are all treated as 0.3.| Method Detail |
|---|
public void addValue(double data,
double weight)
addValue in interface IncrementalEstimatoraddValue in class Estimatordata - the new data valueweight - the weight assigned to the data valuepublic double getProbability(double data)
getProbability in class Estimatordata - the value to estimate the probability of
public java.lang.String toString()
toString in class java.lang.Objectpublic int getNumKernels()
public double[] getMeans()
public double[] getWeights()
public double getPrecision()
public double getStdDev()
public Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class EstimatorCapabilitiespublic java.lang.String getRevision()
getRevision in interface RevisionHandlerpublic static void main(java.lang.String[] argv)
argv - should contain a sequence of numeric values
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