From 74a752879bcad54daa62994f9eae42fe4afdd299 Mon Sep 17 00:00:00 2001 From: Andrew Dolgov Date: Wed, 25 Nov 2015 21:07:24 +0300 Subject: [PATCH] af_sort_bayes: move to -attic repo, not really suitable for production use of any kind --- plugins/af_sort_bayes/chart_bar.png | Bin 541 -> 0 bytes plugins/af_sort_bayes/init.js | 81 ---- plugins/af_sort_bayes/init.php | 413 ------------------ plugins/af_sort_bayes/lib/COPYING | 278 ------------ plugins/af_sort_bayes/lib/HISTORY | 1 - plugins/af_sort_bayes/lib/LICENSE | 339 -------------- plugins/af_sort_bayes/lib/README.md | 41 -- plugins/af_sort_bayes/lib/README.txt | 86 ---- plugins/af_sort_bayes/lib/VERSION | 1 - .../af_sort_bayes/lib/class.naivebayesian.php | 297 ------------- .../lib/class.naivebayesian_ngram.php | 52 --- .../lib/class.naivebayesianstorage.php | 261 ----------- plugins/af_sort_bayes/thumb_down.png | Bin 601 -> 0 bytes plugins/af_sort_bayes/thumb_up.png | Bin 619 -> 0 bytes 14 files changed, 1850 deletions(-) delete mode 100644 plugins/af_sort_bayes/chart_bar.png delete mode 100644 plugins/af_sort_bayes/init.js delete mode 100644 plugins/af_sort_bayes/init.php delete mode 100644 plugins/af_sort_bayes/lib/COPYING delete mode 100644 plugins/af_sort_bayes/lib/HISTORY delete mode 100644 plugins/af_sort_bayes/lib/LICENSE delete mode 100644 plugins/af_sort_bayes/lib/README.md delete mode 100644 plugins/af_sort_bayes/lib/README.txt delete mode 100644 plugins/af_sort_bayes/lib/VERSION delete mode 100644 plugins/af_sort_bayes/lib/class.naivebayesian.php delete mode 100644 plugins/af_sort_bayes/lib/class.naivebayesian_ngram.php delete mode 100644 plugins/af_sort_bayes/lib/class.naivebayesianstorage.php delete mode 100644 plugins/af_sort_bayes/thumb_down.png delete mode 100644 plugins/af_sort_bayes/thumb_up.png diff --git a/plugins/af_sort_bayes/chart_bar.png b/plugins/af_sort_bayes/chart_bar.png deleted file mode 100644 index 9051fbc609b92b15af9be410e368b7adc20283b8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 541 zcmV+&0^V&qIn(Wzh!))n z^W^$!aM&X3bCX~Vo|JLOLCb!-`g!yN7b-yh!|sbVZ|M~fElQAyiB?lO%sjz z7TJ==TTk%_A{ znxkIa+E~RC#EKF{U0G~y<6)R9(uCp7&f7|JN}RHwEO@{EgbF~D3a1<@ip|9yZb^6$ fo@6A$W#9P^w2GuX0-m@}00000NkvXXu0mjfB69Bi diff --git a/plugins/af_sort_bayes/init.js b/plugins/af_sort_bayes/init.js deleted file mode 100644 index bb6bf595..00000000 --- a/plugins/af_sort_bayes/init.js +++ /dev/null @@ -1,81 +0,0 @@ -function bayesTrain(id, train_up, event) { - try { - - event.stopPropagation(); - - var query = "backend.php?op=pluginhandler&plugin=af_sort_bayes&method=trainArticle&article_id=" + param_escape(id) + - "&train_up=" + param_escape(train_up); - - notify_progress("Loading, please wait..."); - - new Ajax.Request("backend.php", { - parameters: query, - onComplete: function(transport) { - notify(transport.responseText); - updateScore(id); - } }); - - } catch (e) { - exception_error("showTrgmRelated", e); - } -} - -function bayesClearDatabase() { - try { - - if (confirm(__("Clear classifier database?"))) { - - var query = "backend.php?op=pluginhandler&plugin=af_sort_bayes&method=clearDatabase"; - - new Ajax.Request("backend.php", { - parameters: query, - onComplete: function (transport) { - notify(transport.responseText); - bayesUpdateUI(); - } - }); - } - - } catch (e) { - exception_error("showTrgmRelated", e); - } -} - -function bayesUpdateUI() { - try { - - var query = "backend.php?op=pluginhandler&plugin=af_sort_bayes&method=renderPrefsUI"; - - new Ajax.Request("backend.php", { - parameters: query, - onComplete: function (transport) { - dijit.byId("af_sort_bayes_prefs").attr("content", transport.responseText); - } - }); - - } catch (e) { - exception_error("showTrgmRelated", e); - } -} - -function bayesShow(id) { - try { - if (dijit.byId("bayesShowDlg")) - dijit.byId("bayesShowDlg").destroyRecursive(); - - var query = "backend.php?op=pluginhandler&plugin=af_sort_bayes&method=showArticleStats&article_id=" + param_escape(id); - - dialog = new dijit.Dialog({ - id: "bayesShowDlg", - title: __("Classifier information"), - style: "width: 600px", - href: query}); - - dialog.show(); - - } catch (e) { - exception_error("shareArticle", e); - } -} - - diff --git a/plugins/af_sort_bayes/init.php b/plugins/af_sort_bayes/init.php deleted file mode 100644 index 6599baa0..00000000 --- a/plugins/af_sort_bayes/init.php +++ /dev/null @@ -1,413 +0,0 @@ -host = $host; - $this->dbh = Db::get(); - - $this->init_database(); - - $host->add_hook($host::HOOK_ARTICLE_FILTER, $this); - $host->add_hook($host::HOOK_PREFS_TAB, $this); - $host->add_hook($host::HOOK_ARTICLE_BUTTON, $this); - - } - - function trainArticle() { - $article_id = (int) $_REQUEST["article_id"]; - $train_up = sql_bool_to_bool($_REQUEST["train_up"]); - - //$category = $train_up ? "GOOD" : "UGLY"; - $dst_category = "UGLY"; - - $nbs = new NaiveBayesianStorage($_SESSION["uid"]); - $nb = new NaiveBayesian($nbs); - - $result = $this->dbh->query("SELECT score, guid, title, content FROM ttrss_entries, ttrss_user_entries WHERE ref_id = id AND id = " . - $article_id . " AND owner_uid = " . $_SESSION["uid"]); - - if ($this->dbh->num_rows($result) != 0) { - $guid = $this->dbh->fetch_result($result, 0, "guid"); - $title = $this->dbh->fetch_result($result, 0, "title"); - $content = mb_substr(mb_strtolower($title . " " . strip_tags($this->dbh->fetch_result($result, 0, "content"))), 0, $this->max_document_length); - $score = $this->dbh->fetch_result($result, 0, "score"); - - $this->dbh->query("BEGIN"); - - $ref = $nbs->getReference($guid, false); - - if (isset($ref['category_id'])) { - $current_category = $nbs->getCategoryById($ref['category_id']); - } else { - $current_category = "UGLY"; - } - - // set score to fixed value for now - - if ($train_up) { - switch ($current_category) { - case "UGLY": - $dst_category = "GOOD"; - $score = $this->score_modifier; - break; - case "BAD": - $dst_category = "UGLY"; - $score = 0; - break; - case "GOOD": - $dst_category = "GOOD"; - break; - } - } else { - switch ($current_category) { - case "UGLY": - $dst_category = "BAD"; - $score = -$this->score_modifier; - break; - case "BAD": - $dst_category = "BAD"; - break; - case "GOOD": - $dst_category = "UGLY"; - $score = 0; - break; - } - } - - $nb->untrain($guid, $content); - $nb->train($guid, $nbs->getCategoryByName($dst_category), $content); - - $this->dbh->query("UPDATE ttrss_user_entries SET score = '$score' WHERE ref_id = $article_id AND owner_uid = " . $_SESSION["uid"]); - - $nb->updateProbabilities(); - - $this->dbh->query("COMMIT"); - - } - - print "$article_id :: $dst_category :: $score"; - } - - function get_js() { - return file_get_contents(__DIR__ . "/init.js"); - } - - function get_prefs_js() { - return file_get_contents(__DIR__ . "/init.js"); - } - - function hook_article_button($line) { - return "" . - "" . - ""; - - } - - function init_database() { - $prefix = $this->sql_prefix; - - // TODO there probably should be a way for plugins to determine their schema version to upgrade tables - - /*$this->dbh->query("DROP TABLE IF EXISTS ${prefix}_wordfreqs", false); - $this->dbh->query("DROP TABLE IF EXISTS ${prefix}_references", false); - $this->dbh->query("DROP TABLE IF EXISTS ${prefix}_categories", false);*/ - - $this->dbh->query("BEGIN"); - - // PG only for the time being - - if (DB_TYPE == "mysql") { - - $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_categories ( - id INTEGER NOT NULL PRIMARY KEY auto_increment, - category varchar(100) NOT NULL DEFAULT '', - probability DOUBLE NOT NULL DEFAULT '0', - owner_uid INTEGER NOT NULL, - FOREIGN KEY (owner_uid) REFERENCES ttrss_users(id) ON DELETE CASCADE, - word_count BIGINT NOT NULL DEFAULT '0') ENGINE=InnoDB"); - - $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_references ( - id INTEGER NOT NULL PRIMARY KEY auto_increment, - document_id VARCHAR(255) NOT NULL, - category_id INTEGER NOT NULL, - FOREIGN KEY (category_id) REFERENCES ${prefix}_categories(id) ON DELETE CASCADE, - owner_uid INTEGER NOT NULL, - FOREIGN KEY (owner_uid) REFERENCES ttrss_users(id) ON DELETE CASCADE) ENGINE=InnoDB"); - - $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_wordfreqs ( - word varchar(100) NOT NULL DEFAULT '', - category_id INTEGER NOT NULL, - FOREIGN KEY (category_id) REFERENCES ${prefix}_categories(id) ON DELETE CASCADE, - owner_uid INTEGER NOT NULL, - FOREIGN KEY (owner_uid) REFERENCES ttrss_users(id) ON DELETE CASCADE, - count BIGINT NOT NULL DEFAULT '0') ENGINE=InnoDB"); - - - } else { - $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_categories ( - id SERIAL NOT NULL PRIMARY KEY, - category varchar(100) NOT NULL DEFAULT '', - probability DOUBLE PRECISION NOT NULL DEFAULT '0', - owner_uid INTEGER NOT NULL REFERENCES ttrss_users(id) ON DELETE CASCADE, - word_count BIGINT NOT NULL DEFAULT '0')"); - - $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_references ( - id SERIAL NOT NULL PRIMARY KEY, - document_id VARCHAR(255) NOT NULL, - category_id INTEGER NOT NULL REFERENCES ${prefix}_categories(id) ON DELETE CASCADE, - owner_uid INTEGER NOT NULL REFERENCES ttrss_users(id) ON DELETE CASCADE)"); - - $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_wordfreqs ( - word varchar(100) NOT NULL DEFAULT '', - category_id INTEGER NOT NULL REFERENCES ${prefix}_categories(id) ON DELETE CASCADE, - owner_uid INTEGER NOT NULL REFERENCES ttrss_users(id) ON DELETE CASCADE, - count BIGINT NOT NULL DEFAULT '0')"); - } - - $owner_uid = @$_SESSION["uid"]; - - if ($owner_uid) { - $result = $this->dbh->query("SELECT id FROM ${prefix}_categories WHERE owner_uid = $owner_uid LIMIT 1"); - - if ($this->dbh->num_rows($result) == 0) { - $this->dbh->query("INSERT INTO ${prefix}_categories (category, owner_uid) VALUES ('GOOD', $owner_uid)"); - $this->dbh->query("INSERT INTO ${prefix}_categories (category, owner_uid) VALUES ('BAD', $owner_uid)"); - $this->dbh->query("INSERT INTO ${prefix}_categories (category, owner_uid) VALUES ('UGLY', $owner_uid)"); - } - } - - $this->dbh->query("COMMIT"); - } - - function renderPrefsUI() { - $result = $this->dbh->query("SELECT category, probability, word_count, - (SELECT COUNT(id) FROM {$this->sql_prefix}_references WHERE - category_id = {$this->sql_prefix}_categories.id) as doc_count - FROM {$this->sql_prefix}_categories WHERE owner_uid = " . $_SESSION["uid"]); - - print "

" . __("Statistics") . "

"; - - print "

".T_sprintf("Required UGLY word count for automatic matching: %d", $this->auto_categorize_threshold)."

"; - - print ""; - print ""; - - while ($line = $this->dbh->fetch_assoc($result)) { - print ""; - foreach ($line as $k => $v) { - if ($k == "probability") $v = sprintf("%.3f", $v); - - print ""; - } - print ""; - } - - print "
CategoryProbabilityWordsArticles
$v
"; - - print "

" . __("Last matched articles") . "

"; - - $result = $this->dbh->query("SELECT te.title, category, tf.title AS feed_title - FROM ttrss_entries AS te, ttrss_user_entries AS tu, ttrss_feeds AS tf, {$this->sql_prefix}_references AS tr, {$this->sql_prefix}_categories AS tc - WHERE tf.id = tu.feed_id AND tu.ref_id = te.id AND tc.id = tr.category_id AND tr.document_id = te.guid ORDER BY te.id DESC LIMIT 20"); - - print "
    "; - - while ($line = $this->dbh->fetch_assoc($result)) { - print "
  • " . $line["category"] . ": " . $line["title"] . " (" . $line["feed_title"] . ")
    • "; - } - - print "
"; - - print " "; - - print " "; - - // - } - - function hook_prefs_tab($args) { - if ($args != "prefPrefs") return; - - print "
"; - - $this->renderPrefsUI(); - - print "
"; - } - - function hook_article_filter($article) { - $owner_uid = $article["owner_uid"]; - - // guid already includes owner_uid so we don't need to include it - $result = $this->dbh->query("SELECT id FROM {$this->sql_prefix}_references WHERE - document_id = '" . $this->dbh->escape_string($article['guid_hashed']) . "'"); - - if (db_num_rows($result) != 0) { - _debug("bayes: article already categorized"); - return $article; - } - - $nbs = new NaiveBayesianStorage($owner_uid); - $nb = new NaiveBayesian($nbs); - - $categories = $nbs->getCategories(); - - if (count($categories) > 0) { - - $count_neutral = 0; - - $id_good = 0; - $id_ugly = 0; - $id_bad = 0; - - foreach ($categories as $id => $cat) { - if ($cat["category"] == "GOOD") { - $id_good = $id; - } else if ($cat["category"] == "UGLY") { - $id_ugly = $id; - $count_neutral += $cat["word_count"]; - } else if ($cat["category"] == "BAD") { - $id_bad = $id; - } - } - - $dst_category = $id_ugly; - - $bayes_content = mb_substr(mb_strtolower($article["title"] . " " . strip_tags($article["content"])), 0, $this->max_document_length); - - if ($count_neutral >= $this->auto_categorize_threshold) { - // enable automatic categorization - - $result = $nb->categorize($bayes_content); - - //print_r($result); - - if (count($result) == 3) { - $prob_good = $result[$id_good]; - $prob_bad = $result[$id_bad]; - - if (!is_nan($prob_good) && $prob_good > 0.90) { - $dst_category = $id_good; - $article["score_modifier"] += $this->score_modifier; - } else if (!is_nan($prob_bad) && $prob_bad > 0.90) { - $dst_category = $id_bad; - $article["score_modifier"] -= $this->score_modifier; - } - } - - _debug("bayes, dst category: $dst_category"); - } - - $nb->train($article["guid_hashed"], $dst_category, $bayes_content); - - $nb->updateProbabilities(); - } - - return $article; - - } - - function clearDatabase() { - $prefix = $this->sql_prefix; - - $this->dbh->query("BEGIN"); - $this->dbh->query("DELETE FROM ${prefix}_references WHERE owner_uid = " . $_SESSION["uid"]); - $this->dbh->query("DELETE FROM ${prefix}_wordfreqs WHERE owner_uid = " . $_SESSION["uid"]); - $this->dbh->query("COMMIT"); - - $nbs = new NaiveBayesianStorage($_SESSION["uid"]); - $nb = new NaiveBayesian($nbs); - $nb->updateProbabilities(); - } - - function showArticleStats() { - $article_id = (int) $_REQUEST["article_id"]; - - $result = $this->dbh->query("SELECT score, guid, title, content FROM ttrss_entries, ttrss_user_entries WHERE ref_id = id AND id = " . - $article_id . " AND owner_uid = " . $_SESSION["uid"]); - - if ($this->dbh->num_rows($result) != 0) { - $guid = $this->dbh->fetch_result($result, 0, "guid"); - $title = $this->dbh->fetch_result($result, 0, "title"); - - $content = mb_substr(mb_strtolower($title . " " . strip_tags($this->dbh->fetch_result($result, 0, "content"))), 0, $this->max_document_length); - - print "

" . $title . "

"; - - $nbs = new NaiveBayesianStorage($_SESSION["uid"]); - $nb = new NaiveBayesian($nbs); - - $categories = $nbs->getCategories(); - - $ref = $nbs->getReference($guid, false); - - $current_cat = isset($ref["category_id"]) ? $categories[$ref["category_id"]]["category"] : "N/A"; - - print "

" . T_sprintf("Currently stored as: %s", $current_cat) . "

"; - - $result = $nb->categorize($content); - - print "

" . __("Classifier result") . "

"; - - print ""; - print ""; - - foreach ($result as $k => $v) { - print ""; - print ""; - print ""; - - print ""; - } - - print "
CategoryProbability
" . $categories[$k]["category"] . "" . $v . "
"; - - } else { - print_error("Article not found"); - } - - print "
"; - - print ""; - - print "
"; - - } - - function api_version() { - return 2; - } - -} -?> diff --git a/plugins/af_sort_bayes/lib/COPYING b/plugins/af_sort_bayes/lib/COPYING deleted file mode 100644 index 207a79cb..00000000 --- a/plugins/af_sort_bayes/lib/COPYING +++ /dev/null @@ -1,278 +0,0 @@ - GNU GENERAL PUBLIC LICENSE - Version 2, June 1991 - - Copyright (C) 1989, 1991 Free Software Foundation, Inc. - 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA - Everyone is permitted to copy and distribute verbatim copies - of this license document, but changing it is not allowed. - - Preamble - - The licenses for most software are designed to take away your -freedom to share and change it. By contrast, the GNU General Public -License is intended to guarantee your freedom to share and change free -software--to make sure the software is free for all its users. This -General Public License applies to most of the Free Software -Foundation's software and to any other program whose authors commit to -using it. 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IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING -WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR -REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, -INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING -OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED -TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY -YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER -PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE -POSSIBILITY OF SUCH DAMAGES. - - END OF TERMS AND CONDITIONS - diff --git a/plugins/af_sort_bayes/lib/HISTORY b/plugins/af_sort_bayes/lib/HISTORY deleted file mode 100644 index 24cfb05d..00000000 --- a/plugins/af_sort_bayes/lib/HISTORY +++ /dev/null @@ -1 +0,0 @@ -2003/11/02 - Sortie de la version initiale 1.0 diff --git a/plugins/af_sort_bayes/lib/LICENSE b/plugins/af_sort_bayes/lib/LICENSE deleted file mode 100644 index d7f10513..00000000 --- a/plugins/af_sort_bayes/lib/LICENSE +++ /dev/null @@ -1,339 +0,0 @@ -GNU GENERAL PUBLIC LICENSE - Version 2, June 1991 - - Copyright (C) 1989, 1991 Free Software Foundation, Inc., - 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA - Everyone is permitted to copy and distribute verbatim copies - of this license document, but changing it is not allowed. - - Preamble - - The licenses for most software are designed to take away your -freedom to share and change it. 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For software which is copyrighted by the Free -Software Foundation, write to the Free Software Foundation; we sometimes -make exceptions for this. Our decision will be guided by the two goals -of preserving the free status of all derivatives of our free software and -of promoting the sharing and reuse of software generally. - - NO WARRANTY - - 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY -FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN -OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES -PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED -OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF -MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS -TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE -PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, -REPAIR OR CORRECTION. - - 12. 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See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License along - with this program; if not, write to the Free Software Foundation, Inc., - 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. - -Also add information on how to contact you by electronic and paper mail. - -If the program is interactive, make it output a short notice like this -when it starts in an interactive mode: - - Gnomovision version 69, Copyright (C) year name of author - Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. - This is free software, and you are welcome to redistribute it - under certain conditions; type `show c' for details. - -The hypothetical commands `show w' and `show c' should show the appropriate -parts of the General Public License. Of course, the commands you use may -be called something other than `show w' and `show c'; they could even be -mouse-clicks or menu items--whatever suits your program. - -You should also get your employer (if you work as a programmer) or your -school, if any, to sign a "copyright disclaimer" for the program, if -necessary. Here is a sample; alter the names: - - Yoyodyne, Inc., hereby disclaims all copyright interest in the program - `Gnomovision' (which makes passes at compilers) written by James Hacker. - - {signature of Ty Coon}, 1 April 1989 - Ty Coon, President of Vice - -This General Public License does not permit incorporating your program into -proprietary programs. If your program is a subroutine library, you may -consider it more useful to permit linking proprietary applications with the -library. If this is what you want to do, use the GNU Lesser General -Public License instead of this License. diff --git a/plugins/af_sort_bayes/lib/README.md b/plugins/af_sort_bayes/lib/README.md deleted file mode 100644 index 79b16ae6..00000000 --- a/plugins/af_sort_bayes/lib/README.md +++ /dev/null @@ -1,41 +0,0 @@ -PHP Naive Bayesian Filter -============================================================ -This library implements Naive Bayes classifier. Original Project developed by Loic d'Anterroches [loic xhtml.net]. This Library is very Usefull but is not Published now. so Salvage from [Internet Archive] and create Github Repositry. - -see more information to Original Readme.txt and [Original Page]. -And If there is a problem with the publication of this repository, I will close this repository. - - -[loic xhtml.net]: -[Internet Archive]: -[Original Page]: - -Writing by Japanese ------------------------------------------------------------- -このライブラリは単純ベイズ分類器を実装したライブラリです。元のプロジェクトはLoic d'Anterrochesが作成しています。非常に有益なライブラリですが、現在は公開されていないようです。そこでインターネットアーカイブからライブラリをサルベージし、Githubのレポジトリを作成しました。 - -より詳しい情報はオリジナルのReadme.txtを参照してください。 -もし、このレポジトリの公開に問題があるようならば、このレポジトリを削除します。 - -extract Original Readme ------------------------------------------------------------- -> This file is part of PHP Naive Bayesian Filter. -> -> The Initial Developer of the Original Code is -> Loic d'Anterroches [loic xhtml.net]. -> Portions created by the Initial Developer are Copyright (C) 2003 -> the Initial Developer. All Rights Reserved. -> -> PHP Naive Bayesian Filter is free software; you can redistribute it -> and/or modify it under the terms of the GNU General Public License as -> published by the Free Software Foundation; either version 2 of -> the License, or (at your option) any later version. -> -> PHP Naive Bayesian Filter is distributed in the hope that it will -> be useful, but WITHOUT ANY WARRANTY; without even the implied -> warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. -> See the GNU General Public License for more details. -> -> You should have received a copy of the GNU General Public License -> along with Foobar; if not, write to the Free Software -> Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA \ No newline at end of file diff --git a/plugins/af_sort_bayes/lib/README.txt b/plugins/af_sort_bayes/lib/README.txt deleted file mode 100644 index e3230f32..00000000 --- a/plugins/af_sort_bayes/lib/README.txt +++ /dev/null @@ -1,86 +0,0 @@ -/* - ***** BEGIN LICENSE BLOCK ***** - This file is part of PHP Naive Bayesian Filter. - - The Initial Developer of the Original Code is - Loic d'Anterroches [loic xhtml.net]. - Portions created by the Initial Developer are Copyright (C) 2003 - the Initial Developer. All Rights Reserved. - - PHP Naive Bayesian Filter is free software; you can redistribute it - and/or modify it under the terms of the GNU General Public License as - published by the Free Software Foundation; either version 2 of - the License, or (at your option) any later version. - - PHP Naive Bayesian Filter is distributed in the hope that it will - be useful, but WITHOUT ANY WARRANTY; without even the implied - warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. - See the GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with Foobar; if not, write to the Free Software - Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA - - ***** END LICENSE BLOCK ***** -*/ - - -** Presentation ** - -Voici une implementation generale d'un filtre reposant sur le theoreme de Bayes. -L'application la plus connue est le filtre anti-spam. Vous pouvez aussi -l'utiliser pour faire de la classification automatique de documents. - -Ce programme se base sur la version simplifiee du theoreme de Bayes comme -decrite par Ken Williams, ken@mathforum.org sur la page -http://mathforum.org/~ken/bayes/bayes.html au 31/10/2003. - -Le systeme permet de maniere generale de faire la classification de documents -textes dans differentes categories. Si vous voulez l'utiliser pour une -classification de vos messages entre spam et non-spam, alors il vous faudra 2 -categories, une "spam" et une "nonspam". - -J'ai cree ce script car c'est une sujet a la mode en ce moment. Particulierement -pour filtrer les commentaires et les trackbacks dans les blogs. Le systeme -propose ici permet d'avoir plus que deux categories spam et non spam. Cela permet -donc theoriquement de l'utiliser pour la classification dans de multiples -categories. - -Un petit script 'index.php' vous permet de tester le systeme, ensuite vous -pouvez inclure la classe dans vos scripts. Les fichiers class.naivebayesian.php -et class.naivebayesianstorage.php peuvent aussi etre utilises avec la licence -GNU Lesser General Public License Version 2.1 ou ulterieure. - - -** Fonctionnalites ** - -- Une classe avec la logique de base, une autre qui est l'interface de stockage. -- Stockage des donnees dans une base de données pour le moment MySQL mais -vous pouvez utiliser celle que vous voulez via l'interface de stockage. -- Apprentissage -- Desapprentissage -- Archivage automatique des documents "reference" -- L'interface de stockage par defaut utilise MySQL et repose sur deux classes -d'Olivier Meunier. - -** Utilisation ** - -Regardez le code de index.php -Pour une bonne utilisation il vous faut creer une autre classe qui herite de -NaiveBayesian pour avoir votre propre fonction pour ignorer les mots qui ne -portent pas de sens particulier. Ceci n'est pas fait dans 'index.php' - -class votreclass extends NaiveBayesian -{ - function getIgnoreList() - { - return array('the', 'that', 'you', 'for', 'and'); - } -} - - -** Des questions ** - -Pouvez me contacter par email a loic xhtml.net, ou venir sur http://www.xhtml.net/ - - diff --git a/plugins/af_sort_bayes/lib/VERSION b/plugins/af_sort_bayes/lib/VERSION deleted file mode 100644 index d3827e75..00000000 --- a/plugins/af_sort_bayes/lib/VERSION +++ /dev/null @@ -1 +0,0 @@ -1.0 diff --git a/plugins/af_sort_bayes/lib/class.naivebayesian.php b/plugins/af_sort_bayes/lib/class.naivebayesian.php deleted file mode 100644 index 4a4ffa7e..00000000 --- a/plugins/af_sort_bayes/lib/class.naivebayesian.php +++ /dev/null @@ -1,297 +0,0 @@ -nbs = $nbs; - - return true; - } - - /** categorize a document. - Get list of categories in which the document can be categorized - with a score for each category. - - @return array keys = category ids, values = scores - @param string document - */ - function categorize($document) { - $scores = array(); - $categories = $this->nbs->getCategories(); - $tokens = $this->_getTokens($document); - - // calculate the score in each category - $total_words = 0; - $ncat = 0; - - while (list($category, $data) = each($categories)) { - $total_words += $data['word_count']; - $ncat++; - } - - reset($categories); - - while (list($category, $data) = each($categories)) { - $scores[$category] = $data['probability']; - // small probability for a word not in the category - // maybe putting 1.0 as a 'no effect' word can also be good - - if ($data['word_count'] > 0) - $small_proba = 1.0 / ($data['word_count'] * 2); - else - $small_proba = 0; - - reset($tokens); - - while (list($token, $count) = each($tokens)) { - - if ($this->nbs->wordExists($token)) { - $word = $this->nbs->getWord($token, $category); - - if ($word['count']) { - $proba = $word['count'] / $data['word_count']; - } - else { - $proba = $small_proba; - } - - $scores[$category] *= pow($proba, $count) * pow($total_words / $ncat, $count); - // pow($total_words/$ncat, $count) is here to avoid underflow. - - } - } - } - - return $this->_rescale($scores); - } - - /** training against a document. - Set a document as being in a specific category. The document becomes a reference - and is saved in the table of references. After a set of training is done - the updateProbabilities() function must be run. - - @see updateProbabilities() - @see untrain() - @return bool success - @param string document id, must be unique - @param string category_id the category id in which the document should be - @param string content of the document - */ - function train($doc_id, $category_id, $content) { - $ret = false; - - - // if this doc_id already trained, no trained - if (!$this->nbs->getReference($doc_id, false)) { - - $tokens = $this->_getTokens($content); - - while (list($token, $count) = each($tokens)) { - $this->nbs->updateWord($token, $count, $category_id); - } - - $this->nbs->saveReference($doc_id, $category_id, $content); - - $ret = true; - } - else { - $ret = false; - } - - return $ret; - } - - /** untraining of a document. - To remove just one document from the references. - - @see updateProbabilities() - @see untrain() - @return bool success - @param string document id, must be unique - */ - function untrain($doc_id) { - $ref = $this->nbs->getReference($doc_id); - - if (isset($ref['content'])) { - - $tokens = $this->_getTokens($ref['content']); - - while (list($token, $count) = each($tokens)) { - $this->nbs->removeWord($token, $count, $ref['category_id']); - } - - $this->nbs->removeReference($doc_id); - - return true; - } else { - return false; - } - } - - /** rescale the results between 0 and 1. - - @author Ken Williams, ken@mathforum.org - @see categorize() - @return array normalized scores (keys => category, values => scores) - @param array scores (keys => category, values => scores) - */ - function _rescale($scores) { - // Scale everything back to a reasonable area in - // logspace (near zero), un-loggify, and normalize - $total = 0.0; - $max = 0.0; - reset($scores); - - while (list($cat, $score) = each($scores)) { - if ($score >= $max) - $max = $score; - } - - reset($scores); - while (list($cat, $score) = each($scores)) { - $scores[$cat] = (float) exp($score - $max); - $total += (float) pow($scores[$cat], 2); - } - - $total = (float) sqrt($total); - - reset($scores); - while (list($cat, $score) = each($scores)) { - $scores[$cat] = (float) $scores[$cat] / $total; - } - reset($scores); - - return $scores; - } - - /** update the probabilities of the categories and word count. - This function must be run after a set of training - - @see train() - @see untrain() - @return bool sucess - */ - function updateProbabilities() { - // this function is really only database manipulation - // that is why all is done in the NaiveBayesianStorage - return $this->nbs->updateProbabilities(); - } - - /** Get the list of token to ignore. - @return array ignore list - */ - function getIgnoreList() { - //return array('the', 'that', 'you', 'for', 'and'); - - // https://en.wikipedia.org/wiki/Most_common_words_in_English - return array('the', 'be', 'to', 'of', 'and', 'a', 'in', 'that', 'have', 'I', 'it', 'for', 'not', 'on', 'with', - 'he', 'as', 'you', 'do', 'at', 'this', 'but', 'his', 'by', 'from', 'they', 'we', 'say', 'her', - 'she', 'or', 'an', 'will', 'my', 'one', 'all', 'would', 'there', 'their', 'what', 'so', 'up', - 'out', 'if', 'about', 'who', 'get', 'which', 'go', 'me', 'when', 'make', 'can', 'like', 'time', - 'no', 'just', 'him', 'know', 'take', 'people', 'into', 'year', 'your', 'good', 'some', 'could', - 'them', 'see', 'other', 'than', 'then', 'now', 'look', 'only', 'come', 'its', 'over', 'think', - 'also', 'back', 'after', 'use', 'two', 'how', 'our', 'work', 'first', 'well', 'way', 'even', - 'new', 'want', 'because', 'any', 'these', 'give', 'day', 'most', 'us', 'read', 'more'); - - } - - /** get the tokens from a string - - @author James Seng. [http://james.seng.cc/] (based on his perl version) - - @return array tokens - @param string the string to get the tokens from - */ - function _getTokens($string) { - $rawtokens = array(); - $tokens = array(); - //$string = $this->_cleanString($string); - - if (count(0 >= $this->ignore_list)) { - $this->ignore_list = $this->getIgnoreList(); - } - - $rawtokens = preg_split("/[\(\),:\.;\t\r\n ]/", $string, -1, PREG_SPLIT_NO_EMPTY); - - // remove some tokens - while (list(, $token) = each($rawtokens)) { - $token = trim($token); - if (!(('' == $token) || (mb_strpos($token, "&") !== FALSE) || (mb_strlen($token) < $this->min_token_length) || (mb_strlen($token) > $this->max_token_length) || (preg_match('/^[0-9]+$/', $token)) || (in_array($token, $this->ignore_list)))) { - $tokens[$token]++; - } - } - - return $tokens; - } - - /** clean a string from the diacritics - - @author Antoine Bajolet [phpdig_at_toiletoine.net] - @author SPIP [http://uzine.net/spip/] - - @return string clean string - @param string string with accents - */ - function _cleanString($string) { - $diac = /* A */ chr(192) . chr(193) . chr(194) . chr(195) . chr(196) . chr(197) . - /* a */ chr(224) . chr(225) . chr(226) . chr(227) . chr(228) . chr(229) . - /* O */ chr(210) . chr(211) . chr(212) . chr(213) . chr(214) . chr(216) . - /* o */ chr(242) . chr(243) . chr(244) . chr(245) . chr(246) . chr(248) . - /* E */ chr(200) . chr(201) . chr(202) . chr(203) . - /* e */ chr(232) . chr(233) . chr(234) . chr(235) . - /* Cc */ chr(199) . chr(231) . - /* I */ chr(204) . chr(205) . chr(206) . chr(207) . - /* i */ chr(236) . chr(237) . chr(238) . chr(239) . - /* U */ chr(217) . chr(218) . chr(219) . chr(220) . - /* u */ chr(249) . chr(250) . chr(251) . chr(252) . - /* yNn */ chr(255) . chr(209) . chr(241); - - return strtolower(strtr($string, $diac, 'AAAAAAaaaaaaOOOOOOooooooEEEEeeeeCcIIIIiiiiUUUUuuuuyNn')); - } - - } diff --git a/plugins/af_sort_bayes/lib/class.naivebayesian_ngram.php b/plugins/af_sort_bayes/lib/class.naivebayesian_ngram.php deleted file mode 100644 index cee2bb1d..00000000 --- a/plugins/af_sort_bayes/lib/class.naivebayesian_ngram.php +++ /dev/null @@ -1,52 +0,0 @@ -N = $n; - - return true; - } - - /** - * override method for ngram - * - * @param string $string - * @return multiple - */ - function _getTokens($string) { - $tokens = array(); - - if (mb_strlen($string)) { - for ($i = 0; $i < mb_strlen($string) - $this->N; $i++) { - $wd = mb_substr($string, $i, $this->N); - - if (mb_strlen($wd) == $this->N) { - if (!array_key_exists($wd, $tokens)) { - $tokens[$wd] = 0; - } - - $tokens[$wd]++; - } - } - } - - if (count($tokens)) { - // remove empty value - $tokens = array_filter($tokens); - } - - return $tokens; - } - - } diff --git a/plugins/af_sort_bayes/lib/class.naivebayesianstorage.php b/plugins/af_sort_bayes/lib/class.naivebayesianstorage.php deleted file mode 100644 index 99db1fc7..00000000 --- a/plugins/af_sort_bayes/lib/class.naivebayesianstorage.php +++ /dev/null @@ -1,261 +0,0 @@ -con = Db::get(); - $this->owner_uid = $owner_uid; - - return true; - } - - /** get the list of categories with basic data. - - @return array key = category ids, values = array(keys = 'probability', 'word_count') - */ - function getCategories() { - $categories = array(); - $rs = $this->con->query('SELECT * FROM ttrss_plugin_af_sort_bayes_categories WHERE owner_uid = ' . $this->owner_uid); - - while ($line = $this->con->fetch_assoc($rs)) { - $categories[$line['id']] = array('probability' => $line['probability'], - 'category' => $line['category'], - 'word_count' => $line['word_count'] - ); - } - - return $categories; - } - - function getCategoryByName($category) { - $rs = $this->con->query("SELECT id FROM ttrss_plugin_af_sort_bayes_categories WHERE category = '" . - $this->con->escape_string($category) . "' AND owner_uid = " . $this->owner_uid); - - if ($this->con->num_rows($rs) != 0) { - return $this->con->fetch_result($rs, 0, "id"); - } - - return false; - } - - function getCategoryById($category_id) { - $rs = $this->con->query("SELECT category FROM ttrss_plugin_af_sort_bayes_categories WHERE id = '" . - (int)$category_id . "' AND owner_uid = " . $this->owner_uid); - - if ($this->con->num_rows($rs) != 0) { - return $this->con->fetch_result($rs, 0, "category"); - } - - return false; - } - - /** see if the word is an already learnt word. - @return bool - @param string word - */ - function wordExists($word) { - $rs = $this->con->query("SELECT * FROM ttrss_plugin_af_sort_bayes_wordfreqs WHERE word='" . $this->con->escape_string($word) . "' AND - owner_uid = " . $this->owner_uid); - - return $this->con->num_rows($rs) != 0; - } - - /** get details of a word in a category. - @return array ('count' => count) - @param string word - @param string category id - */ - function getWord($word, $category_id) { - $details = array(); - - $rs = $this->con->query("SELECT * FROM ttrss_plugin_af_sort_bayes_wordfreqs WHERE word='" . - $this->con->escape_string($word) . "' AND category_id=" . (int)$category_id); - - if ($this->con->num_rows($rs) == 0 ) { - $details['count'] = 0; - } else { - $details['count'] = $this->con->fetch_result($rs, 0, "count"); - } - - return $details; - } - - /** update a word in a category. - If the word is new in this category it is added, else only the count is updated. - - @return bool success - @param string word - @param int count - @paran string category id - */ - function updateWord($word, $count, $category_id) { - $oldword = $this->getWord($word, $category_id); - - if (0 == $oldword['count']) { - return $this->con->query("INSERT INTO ttrss_plugin_af_sort_bayes_wordfreqs (word, category_id, count, owner_uid) - VALUES ('" . $this->con->escape_string($word) . "', '" . - (int)$category_id . "', '" . - (int)$count . "', '". - $this->owner_uid . "')"); - } - else { - return $this->con->query("UPDATE ttrss_plugin_af_sort_bayes_wordfreqs SET count = count + " . (int) $count . " WHERE category_id = '" . $this->con->escape_string($category_id) . "' AND word = '" . $this->con->escape_string($word) . "'"); - } - } - - /** remove a word from a category. - - @return bool success - @param string word - @param int count - @param string category id - */ - function removeWord($word, $count, $category_id) { - $oldword = $this->getWord($word, $category_id); - - if (0 != $oldword['count'] && 0 >= ($oldword['count'] - $count)) { - return $this->con->query("DELETE FROM ttrss_plugin_af_sort_bayes_wordfreqs WHERE word='" . - $this->con->escape_string($word) . "' AND category_id='" . - $this->con->escape_string($category_id) . "'"); - } - else { - return $this->con->query("UPDATE ttrss_plugin_af_sort_bayes_wordfreqs SET count = count - " . - (int) $count . " WHERE category_id = '" . $this->con->escape_string($category_id) . "' - AND word = '" . $this->con->escape_string($word) . "'"); - } - } - - /** update the probabilities of the categories and word count. - This function must be run after a set of training - - @return bool sucess - */ - function updateProbabilities() { - // first update the word count of each category - $rs = $this->con->query("SELECT SUM(count) AS total FROM ttrss_plugin_af_sort_bayes_wordfreqs WHERE owner_uid = ".$this->owner_uid); - - $total_words = $this->con->fetch_result($rs, 0, "total"); - - if ($total_words == 0) { - $this->con->query("UPDATE ttrss_plugin_af_sort_bayes_categories SET word_count=0, probability=0 WHERE owner_uid = " . $this->owner_uid); - return true; - } - - $rs = $this->con->query("SELECT tc.id AS category_id, SUM(count) AS total FROM ttrss_plugin_af_sort_bayes_categories AS tc - LEFT JOIN ttrss_plugin_af_sort_bayes_wordfreqs AS tw ON (tc.id = tw.category_id) WHERE tc.owner_uid = ".$this->owner_uid." GROUP BY tc.id"); - - while ($line = $this->con->fetch_assoc($rs)) { - - $proba = (int)$line['total'] / $total_words; - $this->con->query("UPDATE ttrss_plugin_af_sort_bayes_categories SET word_count=" . (int) $line['total'] . - ", probability=" . $proba . " WHERE id = '" . $line['category_id'] . "'"); - } - - return true; - } - - /** save a reference in the database. - - @return bool success - @param string reference if, must be unique - @param string category id - @param string content of the reference - */ - function saveReference($doc_id, $category_id, $content) { - return $this->con->query("INSERT INTO ttrss_plugin_af_sort_bayes_references (document_id, category_id, owner_uid) VALUES - ('" . $this->con->escape_string($doc_id) . "', '" . - (int)$category_id . "', " . - (int)$this->owner_uid . ")"); - } - - /** get a reference from the database. - - @return array reference( category_id => ...., content => ....) - @param string id - */ - function getReference($doc_id, $include_content = true) - { - - $ref = array(); - $rs = $this->con->query("SELECT * FROM ttrss_plugin_af_sort_bayes_references WHERE document_id='" . - $this->con->escape_string($doc_id) . "' AND owner_uid = " . $this->owner_uid); - - if ($this->con->num_rows($rs) == 0) { - return $ref; - } - - $ref['category_id'] = $this->con->fetch_result($rs, 0, 'category_id'); - $ref['id'] = $this->con->fetch_result($rs, 0, 'id'); - $ref['document_id'] = $this->con->fetch_result($rs, 0, 'document_id'); - - if ($include_content) { - $rs = $this->con->query("SELECT content, title FROM ttrss_entries WHERE guid = '" . - $this->con->escape_string($ref['document_id']) . "'"); - - if ($this->con->num_rows($rs) != 0) { - $ref['content'] = mb_substr(mb_strtolower($this->con->fetch_result($rs, 0, 'title') . 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