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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 | |
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KernelEstimator(double precision)
Constructor that takes a precision argument. |
Method Summary | |
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void |
addValue(double data,
double weight)
Add a new data value to the current estimator. |
Capabilities |
getCapabilities()
Returns default capabilities of the classifier. |
double |
getProbability(double data)
Get a probability estimate for a value. |
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 |
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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 |
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getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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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 |
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public void addValue(double data, double weight)
addValue
in interface IncrementalEstimator
addValue
in class Estimator
data
- the new data valueweight
- the weight assigned to the data valuepublic double getProbability(double data)
getProbability
in class Estimator
data
- the value to estimate the probability of
public java.lang.String toString()
toString
in class java.lang.Object
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class Estimator
Capabilities
public static void main(java.lang.String[] argv)
argv
- should contain a sequence of numeric values
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