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Description
Class Summary  

Bin  a class which does 1D histogrambins. 
Bin2D  This saves samples pairs of data, and remembers some stats about the y values for each bin. 
CorrectMatrix  If your prediction is yes/no, or if you are only interested in stats on correctness and incorrectness, you can create a matrix which is 2xN, where N is the number of possible categories in reality, and data[0][i] indicates the number of wrong predictions of things belonging to catogory i (you predicted them as something other than i), while data[1][i] indicates the number of correct predictions of things belonging to category i. 
DHalfMatrix  like an upper triangular DMatrix. 
DMatrix  a class to encapsulate a 2D matrix of doubles. 
DVector  a class to encapsulate a 1D array of doubles. 
DVectorSet  A class to encapsulate a set of points, where each point is represented as a DVector. 
FBin  a class which does 1D histogramFBins. 
FHalfMatrix  like an upper triangular DMatrix. 
FMatrix  a class to encapsulate a 2D matrix of floats. 
FVector  a class to encapsulate a 1D array of floats. 
IMatrix  a class to encapsulate a 2D matrix of integers Can do a bunch of math functions, and save/load from a file. 
IVector  a class to encapsulate a 1D matrix of integers. 
Sampler  This is a special case of Bin that samples data and can later return statistics like average, standard deviation. 
SimMatrix  This is a NxN matrix, where data[i][j] indicates the number of times something was actually i, but predicted to be j. 
StatsMatrix  This class describes a special kind of integer matrix which is used for keeping stats on how well a predictive procedure is performing. 
These classes perform functions related to mathematics and statistics.


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