public class DKConditionalEstimator extends java.lang.Object implements ConditionalEstimator
Constructor and Description |
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DKConditionalEstimator(int numSymbols,
double precision)
Constructor
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Modifier and Type | Method and Description |
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void |
addValue(double data,
double given,
double weight)
Add a new data value to the current estimator.
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Estimator |
getEstimator(double given)
Get a probability estimator for a value
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double |
getProbability(double data,
double given)
Get a probability estimate for a value
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java.lang.String |
getRevision()
Returns the revision string.
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static void |
main(java.lang.String[] argv)
Main method for testing this class.
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java.lang.String |
toString()
Display a representation of this estimator
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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.public void addValue(double data, double given, double weight)
addValue
in interface ConditionalEstimator
data
- 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 ConditionalEstimator
given
- the new value that data is conditional uponpublic double getProbability(double data, double given)
getProbability
in interface ConditionalEstimator
data
- the value to estimate the probability ofgiven
- the new value that data is conditional uponpublic java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
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.