From: Andrew Dolgov Date: Wed, 17 Jun 2015 16:20:17 +0000 (+0300) Subject: some bayes updates X-Git-Tag: 16.3~298 X-Git-Url: https://git.wh0rd.org/?a=commitdiff_plain;h=e0ae194ac9751af85fece1c36136330dae93a7c7;p=tt-rss.git some bayes updates --- diff --git a/plugins/af_sort_bayes/init.php b/plugins/af_sort_bayes/init.php index dc90352e..e2c81d63 100644 --- a/plugins/af_sort_bayes/init.php +++ b/plugins/af_sort_bayes/init.php @@ -38,7 +38,7 @@ class Af_Sort_Bayes extends Plugin { $dst_category = "UGLY"; $nbs = new NaiveBayesianStorage($_SESSION["uid"]); - $nb = new NaiveBayesianNgram($nbs); + $nb = new NaiveBayesian($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"]); @@ -240,7 +240,7 @@ class Af_Sort_Bayes extends Plugin { $owner_uid = $article["owner_uid"]; $nbs = new NaiveBayesianStorage($owner_uid); - $nb = new NaiveBayesianNgram($nbs); + $nb = new NaiveBayesian($nbs); $categories = $nbs->getCategories(); @@ -267,23 +267,27 @@ class Af_Sort_Bayes extends Plugin { $bayes_content = mb_strtolower($article["title"] . " " . strip_tags($article["content"])); - if ($count_neutral >= 5000) { + if ($count_neutral >= 10000) { // 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 ($prob_good > 0.90) { - $dst_category = $id_good; // should we autofile as good or not? idk + $dst_category = $id_good; $article["score_modifier"] += $this->score_modifier; } else if ($prob_bad > 0.90) { - $dst_category = $id_bad; // should we autofile as good or not? idk + $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); @@ -304,7 +308,7 @@ class Af_Sort_Bayes extends Plugin { $this->dbh->query("COMMIT"); $nbs = new NaiveBayesianStorage($_SESSION["uid"]); - $nb = new NaiveBayesianNgram($nbs); + $nb = new NaiveBayesian($nbs); $nb->updateProbabilities(); }