<?php
/*
***************************************************************************
* Copyright (C) 2007 by Cesar D. Rodas *
* [email protected] *
* *
* Permission is hereby granted, free of charge, to any person obtaining *
* a copy of this software and associated documentation files (the *
* "Software"), to deal in the Software without restriction, including *
* without limitation the rights to use, copy, modify, merge, publish, *
* distribute, sublicense, and/or sell copies of the Software, and to *
* permit persons to whom the Software is furnished to do so, subject to *
* the following conditions: *
* *
* The above copyright notice and this permission notice shall be *
* included in all copies or substantial portions of the Software. *
* *
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, *
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF *
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.*
* IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR *
* OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, *
* ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR *
* OTHER DEALINGS IN THE SOFTWARE. *
***************************************************************************
*/
set_time_limit(0);
ini_set('memory_limit','64M');
require("config.php");
require("../trainer.php");
$trainer = new trainer;
$db = mysql_connect(MYSQL_HOST,MYSQL_USER,MYSQL_PASS);
mysql_select_db(MYSQL_DB,$db);
/* loading previus learn */
echo "<h1>Loading previous learn</h1>";flush();
$query = mysql_query("select belongs,ngram,repite from knowledge_base",$db);
$previouslearn = array();
while ( $row = mysql_fetch_array($query) )
$previouslearn[$row['belongs']][$row['ngram']] = $row['repite'];
mysql_free_result($query);
$trainer->setPreviousLearn($previouslearn);
/* traine */
echo "<h1>Training</h1>";flush();
$query = mysql_query("select * from examples",$db);
$sql=mysql_query("select comment_content as text,comment_approved as state from wp_comments",$db);
echo "<h2>Loading examples</h2>";flush();
while ( $row = mysql_fetch_array($query) ){
$text = $row['text'];
$text = strip_tags($text);
$trainer->add_example($text,$row['state']);
}
mysql_free_result($query);
/* learn */
echo "<h2>Learning</h2>";flush();
$trainer->extractPatterns();
/* save what is learned */
echo "<h1>Saving learning</h1>";flush();
foreach ($trainer->knowledge as $tipo => $v) {
foreach($v as $k => $y) {
$k = addslashes($k);
$sql = "replace knowledge_base values('$k','$tipo','".$y['cant']."','".$y['bayesian']."')";
mysql_query($sql,$db) or die(mysql_error($db).":".$sql);
}
}
echo "<h1>Optimizing database</h1>";flush();
mysql_query("create temporary table opttable as
select ngram, count(*) total, min(percent) as nmin, max(percent) as nmax
from knowledge_base group by ngram having count(ngram) > 1",$db);
mysql_query("delete from knowledge_base where ngram in (select ngram from opttable where (nmax-nmin) < 0.30)",$db);
?>
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