Package weka.classifiers.misc.monotone

Interface Summary
BitMatrix Interface specifying a simple matrix of booleans.
NominalLossFunction Interface for incorporating different loss functions.
 

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.