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Class Summary |
| AnovaCalculator |
Determines if the null hypothesis (all actual mean values are the same) holds
for the given values. |
| AnovaCalculator.AnovaSignificanceTestResult |
|
| Averagable |
Superclass for all objects which can be averaged. |
| AverageVector |
Handles several averagables. |
| BinaryPeakFinder |
Generates the amplitude and index point of the highest peaks in the series. |
| CombinationGenerator |
This class can be used to iterate over all combinations of r elements out of n. |
| Complex |
A class for complex numbers which consists of a real and an imaginary part. |
| ContingencyTableTools |
This class provides some helper tool for calculations around
contingency tables like chi-squared tests etc. |
| FastFourierTransform |
Performs a FastFourierTransform on an array of complex values. |
| FDistribution |
The FDistribution depends on two given degrees of freedom. |
| LiftDataGenerator |
Helper class containing some methods for Lift plots. |
| LinearRegression |
This class can be used to calculate the coefficients of a (weighted) linear
regression. |
| MathFunctions |
This class provides mathematical functions not already provided by
java.lang.Math:
tanh() : tangens hyperbolicus, y = tanh(x) = (e^x - e^-x) /
(e^x + e^-x)
|
| Peak |
A peak with a index and a value. |
| ROCData |
This container holds all ROC data points for a single ROC curve. |
| ROCDataGenerator |
Helper class containing some methods for ROC plots, threshold finding and
area under curve calculation. |
| ROCPoint |
Objects of this class hold all information about a single ROC data point. |
| RunVector |
Collects the average vectors of a run. |
| SignificanceTestResult |
This class encapsulates the result of a statistical significance test. |
| SimplePeakFinder |
This simple implementation returns a peak if the specified number of
neighbors is smaller than the current value. |
| SpectrumFilter |
Creates a series of peaks (a spectrum) from the series of complex values
calculated for example by a fourier transform. |
| StringToMatrixConverter |
This class provides functions to convert a matrix given in single
line Matlab format to standard matrix representation and vice versa. |
| TestGroup |
Helper class containing all information about a group, i.e. the number of
elements, the mean and variance value. |
| VectorMath |
This class provides basic operations on vectors like subtraction, multiply and division. |
| WeightedConfidenceAndLabel |
Helper class for finding thresholds for cost sensitive learning or
calculating the AUC performance criterion. |
| WeightedConfidenceAndLabel.WCALComparator |
|
| WindowFunction |
Window functions apply a weight to each value of a value series depending on
the length of the series. |