Math functions and classes. More...
Modules | |
| Statistics functions | |
| Various statistical functions. | |
| Misc functions | |
| Math functions. | |
Classes | |
| class | BilinearInterpolation< Key, Value > |
| Provides access to bilinearly interpolated values (and derivatives) from discrete data points. Values beyond the given range of data points are implicitly taken as zero. More... | |
| class | LinearInterpolation< Key, Value > |
| Provides access to linearly interpolated values (and derivatives) from discrete data points. Values beyond the given range of data points are implicitly taken as zero. More... | |
| class | BasicStatistics< RealT > |
| Calculates some basic statistical parameters of a distribution: sum, mean, variance, and provides the normal approximation. More... | |
| class | CumulativeBinomial |
| Computes the cumulative binomial function. More... | |
| class | GammaDistributionFitter |
| Implements a fitter for the Gamma distribution. More... | |
| class | GaussFitter |
| Implements a fitter for Gaussian functions. More... | |
| class | GumbelDistributionFitter |
| Implements a fitter for the Gumbel distribution. More... | |
| class | Histogram< ValueType, BinSizeType > |
| Representation of a histogram. More... | |
| class | LinearRegression |
This class offers functions to perform least-squares fits to a straight line model,  . More... | |
| class | PosteriorErrorProbabilityModel |
| Implements a mixture model of the inverse gumbel and the gauss distribution or a gaussian mixture. More... | |
| class | ROCCurve |
| ROCCurves show the trade-off in sensitivity and specificity for binary classifiers using different cutoff values. More... | |
Detailed Description
Math functions and classes.