| Class | Description |
|---|---|
| ChiSquareDistribution |
This class will aid some of the underlying classes in this library and
it is taken from Apache commons Math 3.0 with some minor changes
that mostly have to do with copying only the parts that are fundamental
for the algorithms to run.
|
| Comparators |
This class is meant to be used for sorting a 2 dimensional String array based on a given column of the array.
|
| DescriptiveStatistics |
This class is meant to reproduce all the basic univariate statistics
commonly found in statistics and many other statistical packages.
|
| Expected_value_expotential_function |
The current class is used to make the logit transformation used in logistic regression.
|
| FDistribution |
This class will aid some of the underlying classes in this library and
it is taken from Apache commons Math 3.0 with some minor changes
that mostly have to do with copying only the parts that are fundamental
for the algorithms to run.
|
| Pearson_Correlation |
This class will have classes that compute
Pearson's correlation between 2 double arrays and the correlation matrix of
a double array [][].
|
| SortTableDouble |
A simple class (not very efficient)
for sorting a double array [][] based
on another single one to used in PCA analysis.
|
| SortTableMax |
A simple class (not very efficient)
for sorting an Object array [][] based
on another single double one to used in Gini's calculation.
|
| Tdistribution |
This class will aid some of the underlying classes in this library and
it is taken from Apache commons Math 3.0 with some minor changes
that mostly have to do with copying only the parts that are fundamental
for the algorithms to run.
|
| Exception | Description |
|---|---|
| MyException |
It is the main exception class use to capture exceptions in all KazA classes
|