| Interface | Description |
|---|---|
| WekaInterfaces.WekaClassifierGenerator |
| Class | Description |
|---|---|
| AlphanumericSorting | |
| BoltzmannDistribution |
This class provides methods for computing, sampling, and working with Boltzmann distributions/Softmax.
|
| CommandLineOptions |
This class is used to extract command line options that are specified in the form: "--option" or "--option=vaue".
|
| HashedAggregator<K> |
Datasturcutre for maintaining numeric aggregated values for different keys.
|
| HashIndexedHeap<T> |
An implementation of a hash map backed heap/priority queue.
|
| StochasticTree<T> |
A class for performing sampling of a set of objects at O(lg(n)) time.
|
| WekaInterfaces |
Class that includes general methods for interfacing BURLAP with Weka, in particular for turning sets of states
into a Weka data set that can then be used with Weka learning algorithms.
|