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See:
Description
Class Summary | |
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Bin | a class which does 1-D histogram-bins. |
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 2-D matrix of doubles. |
DVector | a class to encapsulate a 1-D 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 1-D histogram-FBins. |
FHalfMatrix | like an upper triangular DMatrix. |
FMatrix | a class to encapsulate a 2-D matrix of floats. |
FVector | a class to encapsulate a 1-D array of floats. |
IMatrix | a class to encapsulate a 2-D matrix of integers Can do a bunch of math functions, and save/load from a file. |
IVector | a class to encapsulate a 1-D 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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