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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 (const 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
*/
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