|
|||||||||||
| PREV NEXT | FRAMES NO FRAMES | ||||||||||
| Packages that use tc | |
| Default Package | |
| tc | |
| Classes in tc used by Default Package | |
| TCExperiment
This class represents an experiment with one corpus. |
|
| Classes in tc used by tc | |
| TCAccuracyResult
this class contains the standard values for a classifier 11 point precision, break even, average precision, and all the recall/precision values |
|
| 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 |
|
| TCDocument
The class represents a single Document in the TC approach. |
|
| TCEvaluationResult
the class holds the results of one evaluation for one thresholding setting |
|
| 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 |
|
| 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 |
|
| 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 |
|
|
|||||||||||
| PREV NEXT | FRAMES NO FRAMES | ||||||||||