|
Class Summary |
| TCAccuracyResult |
this class contains the standard values for a classifier
11 point precision, break even, average precision, and all the
recall/precision values |
| TCBatchResult |
holds all the values for one batch result (all the different curves) |
| TCCategory |
This class represents a category. |
| TCContingencyTable |
implements the contingency table with its
field and methods to calculate precision and recall
usable both, for global and local contingency tables |
| TCCorpus |
Class representing the whole corpus of documents. |
| TCCorpusDistributionsData |
|
| TCCorpusLoader |
all the classes which load corpora have to extend this class |
| TCCorpusLoaderReuters |
loads the reuters corpus (ModApte split in the current configuration)
using the SAX parser... |
| TCCorpusLoaderSelfmade |
class to load the self-made corpus |
| TCDocument |
The class represents a single Document in the TC approach. |
| TCEvaluationResult |
the class holds the results of one evaluation for one thresholding setting |
| TCExperiment |
This class represents an experiment with one corpus. |
| TCkNNListElement |
A Class to hold the results of the k-NN algorithm for one document |
| TCkNNResult |
This class holds the result of an kNN classification
given a result of an k nearest neighbor classification for the
test documents, the class creates a category ranking for every
document |
| TCLancasterStemmer |
Class: Paice *
*
Purpose: Stemming Algorithm * |
| TCNaiveBayesResult |
this class holds the result of a naive bayes classification for ONE document
"probability" in this context is always the probability that the document
was "created" by the category |
| TCPorterStemmer |
|
| TCTableData |
class to save the data to fill a GUI table |
| TCTerm |
Class representing a single term in either a document, a category or the corpus |