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java.lang.Object JavaMI.Entropy
public abstract class Entropy
Implements common discrete Shannon Entropy functions. Provides: univariate entropy H(X), conditional entropy H(X|Y), joint entropy H(X,Y). Defaults to log_2, and so the entropy is calculated in bits.
Field Summary | |
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static double |
LOG_BASE
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Method Summary | |
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static double |
calculateConditionalEntropy(double[] dataVector,
double[] conditionVector)
Calculates the conditional entropy H(X|Y) from two vectors. |
static double |
calculateEntropy(double[] dataVector)
Calculates the univariate entropy H(X) from a vector. |
static double |
calculateJointEntropy(double[] firstVector,
double[] secondVector)
Calculates the joint entropy H(X,Y) from two vectors. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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public static double LOG_BASE
Method Detail |
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public static double calculateEntropy(double[] dataVector)
dataVector
- Input vector (X). It is discretised to the floor of each value before calculation.
public static double calculateConditionalEntropy(double[] dataVector, double[] conditionVector)
dataVector
- Input vector (X). It is discretised to the floor of each value before calculation.conditionVector
- Input vector (Y). It is discretised to the floor of each value before calculation.
public static double calculateJointEntropy(double[] firstVector, double[] secondVector)
firstVector
- Input vector. It is discretised to the floor of each value before calculation.secondVector
- Input vector. It is discretised to the floor of each value before calculation.
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