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java.lang.Objectweka.estimators.DKConditionalEstimator
Conditional probability estimator for a discrete domain conditional upon a numeric domain.
| Constructor Summary | |
DKConditionalEstimator(int numSymbols,
double precision)
Constructor |
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| Method Summary | |
void |
addValue(double data,
double given,
double weight)
Add a new data value to the current estimator. |
Estimator |
getEstimator(double given)
Get a probability estimator for a value |
double |
getProbability(double data,
double given)
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 java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
public DKConditionalEstimator(int numSymbols,
double precision)
numSymbols - the number of symbolsprecision - 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 given,
double weight)
addValue in interface ConditionalEstimatordata - the new data valuegiven - the new value that data is conditional uponweight - the weight assigned to the data valuepublic Estimator getEstimator(double given)
getEstimator in interface ConditionalEstimatorgiven - the new value that data is conditional upon
public double getProbability(double data,
double given)
getProbability in interface ConditionalEstimatordata - the value to estimate the probability ofgiven - the new value that data is conditional upon
public java.lang.String toString()
public static void main(java.lang.String[] argv)
argv - should contain a sequence of pairs of integers which
will be treated as pairs of symbolic, numeric.
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