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/* * Copyright (c) 2009-2012, Vsevolod Stakhov * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY AUTHOR ''AS IS'' AND ANY * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL AUTHOR BE LIABLE FOR ANY * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ /* * Common classifier functions */ #include "classifiers.h" struct classifier classifiers[] = { { .name = "winnow", .init_func = winnow_init, .classify_func = winnow_classify, .learn_func = winnow_learn, .learn_spam_func = winnow_learn_spam, .weights_func = winnow_weights }, { .name = "bayes", .init_func = bayes_init, .classify_func = bayes_classify, .learn_func = bayes_learn, .learn_spam_func = bayes_learn_spam, .weights_func = bayes_weights } }; struct classifier * get_classifier (char *name) { guint i; for (i = 0; i < sizeof (classifiers) / sizeof (classifiers[0]); i++) { if (strcmp (classifiers[i].name, name) == 0) { return &classifiers[i]; } } return NULL; } /* * vi:ts=4 */ 19.0'>summaryrefslogtreecommitdiffstats