Naive Bayes (naive Bayesian algorithm) [Classification algorithm],naivebayes_php tutorial

Naive Bayes (naive Bayesian algorithm) [Classification algorithm],naivebayes

Implementation of Naïve Bayes (naive Bayesian) classification algorithm

(1) Introduction:

(2) Algorithm Description:

(3)

1 
 Php2 /*3 *naive Bayes naive Bayesian algorithm (implementation of classification algorithm)4 */5 6 /*7 * Read the contents of. txt into an array to save8 * $filename: File name9 */Ten //-------------------------------------------------------------------- One functionGetfilecontent ($filename) A { -     $array=Array(NULL); -     $content=file_get_contents($filename); the     $result=Explode("\ r \ n",$content); -     //Print_r (Count ($result)); -      for($j= 0;$j<Count($result);$j++) -     { +         //Print_r ($result [$j]. "
"); -         $con=Explode(" ",$result[$j]); +         Array_push($array,$con); A     } at     Array_splice($array, 0,1); -     return $array; - } - //-------------------------------------------------------------------- -  -  in /* - *naivebayes naive Bayesian algorithm to * $test: Test text, $train: training text; $flagsyes: yes; $flagsno: no + */ - //-------------------------------------------------------------------- the functionNaivebayes ($test,$train,$flagsyes,$flagsno) * { $     $count _yes= 0;Panax Notoginseng     $num=Count($train[0]); -      for($i= 1;$i<Count($train);$i++) the     { +         if($train[$i][$num-1]==$flagsyes)$count _yes++; A     } the     $p _yes=$count _yes/ (Count($train)-1); +     $p _no= 1-$p _yes; -      $     $count _no=Count($train)-1-$count _yes; $  -      -      for($i= 1;$i<Count($test)-1;$i++) the     { -         $testnumyes= 0;Wuyi         $testnumno= 0; the          for($j= 1;$j<Count($train);$j++) -         { Wu             if(($train[$j][$i]==$test[$i]) && ($train[$j][Count($test) -1]==$flagsyes))$testnumyes++; -             Else if(($train[$j][$i]==$test[$i]) && ($train[$j][Count($test) -1]==$flagsno))$testnumno++; About         } $          -         $array _yes[$i] =$testnumyes/$count _yes ; -         $array _no[$i] =$testnumno/$count _no ; - /*         A Print_r ($testnumyes. "
"); + Print_r ($testnumno. "
"); the Print_r ($count _yes. "
"); - Print_r ($count _no. "
"); $ Print_r ($array _no[$i]. "
"); the */     the     } the  the     $py=1; -     $PN=1; in      for($i= 1;$i<Count($test)-1;$i++){ the         $py*=$array _yes[$i]; the         $PN*=$array _no[$i]; About     } the      the     $py*=$p _yes; the     $PN*=$p _no; +      -     if($py>$PN)return $flagsyes; the     Else return $flagsno;Bayi      the /*Print_r ($py. "
"); the Print_r ($PN. "
"); - */     -      the } the //-------------------------------------------------------------------- the  the $train= Getfilecontent ("Train.txt"); - $test= Getfilecontent ("Test.txt"); the  the  for($i= 1;$i<Count($test);$i++) the {94     $test[$i][Count($test[0]) -1] = Naivebayes ($test[$i],$trainYN); the } the  the /*98 * Read the contents of the array into the. txt About */ - //--------------------------------------------------------------------101 $fp=fopen(' Result.txt ', ' WB ');102  for($i= 0;$i<Count($test);$i++)103 {104     $temp=NULL; the      for($j= 0;$j<Count($test[$i]);$j++)106     {107         $temp=$test[$i][$j]." \ t ";108         fwrite($fp,$temp);109     } the     fwrite($fp, "\ r \ n");111 } the fclose($fp);113 //-------------------------------------------------------------------- the  the /* the * Print Output117 */118 //--------------------------------------------------------------------119 Echo"
";  - Print_r ($test); 121 Echo "
";122 //--------------------------------------------------------------------123?>

　　

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