Package InfoTheory

Calculates the chi squared value for a variable

   ARGUMENTS:

     - varMat: a Numeric Array object
       varMat is a Numeric array with the number of possible occurances
         of each result for reach possible value of the given variable.

       So, for a variable which adopts 4 possible values and a result which
         has 3 possible values, varMat would be 4x3

   RETURNS:

     - a Python float object

C++ signature:
    ChiSquare(boost::python::api::object) -> double

calculates the informational entropy of the values in an array

  ARGUMENTS:
    
    - resMat: pointer to a long int array containing the data
    - dim: long int containing the length of the _tPtr_ array.

  RETURNS:

    a double

C++ signature:
    InfoEntropy(boost::python::api::object) -> double

Calculates the information gain for a variable

   ARGUMENTS:

     - varMat: a Numeric Array object
       varMat is a Numeric array with the number of possible occurances
         of each result for reach possible value of the given variable.

       So, for a variable which adopts 4 possible values and a result which
         has 3 possible values, varMat would be 4x3

   RETURNS:

     - a Python float object

   NOTES

     - this is a dropin replacement for _PyInfoGain()_ in entropy.py

C++ signature:
    InfoGain(boost::python::api::object) -> double