Class Summary |
AbsoluteLossFunction |
Class implementing the absolute loss function, this means
the returned loss is the abolute value of the difference
between the predicted and actual value. |
BooleanBitMatrix |
This class is a very simple implementation of a BitMatrix. |
Coordinates |
This is a simple implementation of the data space. |
CumulativeDiscreteDistribution |
Represents a discrete cumulative probability distribution
over a totally ordered discrete set. |
DiscreteDistribution |
This class represents a discrete probability distribution
over a finite number of values. |
DistributionUtils |
Class with some simple methods acting on
CumulativeDiscreteDistribution. |
EnumerationIterator |
Implementation of a simple wrapper class for the Enumeration
interface. |
InstancesComparator |
Class to compare instances with respect to a given attribute, indicated
by its index. |
InstancesUtil |
This class contains some methods for working with objects of
type Instance and Instances, not
provided by there respective classes. |
MultiDimensionalSort |
Class for doing multidimensional sorting, using an array of
Comparator. |
OSDLCore |
This class is an implementation of the Ordinal Stochastic Dominance Learner.
Further information regarding the OSDL-algorithm can be found in:
S. |
ZeroOneLossFunction |
Class implementing the zero-one loss function, this is
an incorrect prediction always accounts for one unit loss. |