文件列表:

bench (0, 2015-10-18)
bench\judge-spam.ros (3184, 2015-10-18)
bench\prepare.sh (841, 2015-10-18)
cl-naive-bayes-test.asd (700, 2015-10-18)
cl-naive-bayes.asd (1125, 2015-10-18)
src (0, 2015-10-18)
src\cl-naive-bayes.lisp (3705, 2015-10-18)
t (0, 2015-10-18)
t\cl-naive-bayes.lisp (3466, 2015-10-18)

# Cl-Naive-Bayes Cl-Naive-Bayes is Common Lisp library to use Naive Bayes classifier by simple interface. ## Usage Cl-Naive-Bayes accepts two kinds of data. - document: a list of strings - Ex '("This" "is" "the" "cl-naive-bayes" "repository") - category: a string - Ex. "normal", "spam" Learning: ```lisp (defparameter *store* (nbayes:make-learned-store)) ; (category word-lst) (defparameter *documents* (list '("A" ("a1" "a2" "a3" "a4" "ab")) '("A" ("a3" "a4" "a5" "a6")) '("B" ("b1" "b2" "b3" "b4" "ab")) '("C" ("c1" "c2" "c3")))) (dolist (doc *documents*) (nbayes:learn-a-document *store* (cadr doc) (car doc))) ``` Classifying: If you want only the result of sorting, use *sort-category-by-prob* as below. ```lisp (nbayes:sort-category-by-prob *store* '("a1" "ab" "c1" "new")) => ("A" "C" "B") ``` On the other hand, if you also want post probabilities of each category, use *sort-category-with-post-prob* as below. ```lisp (nbayes:sort-category-with-post-prob *store* '("a1" "ab" "c1" "new")) => (("A" . 0.4211471) ("C" . 0.3527683) ("B" . 0.22608456)) ``` *Note: New words in sorting are smoothed using Laplace Smoothing.* ## Installation This library has not been submitted to quicklisp repository (at 2015/10/17). So please do "git clone" this to a proper directory. Then, ```lisp (ql:quickload :cl-naive-bayes) ``` or ```lisp (***f:load-system :cl-naive-bayes) ``` ## Author * eshamster (hamgoostar@gmail.com) ## Copyright Copyright (c) 2015 eshamster (hamgoostar@gmail.com) ## License Licensed under the LLGPL License.

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