{"id":50771,"date":"2021-11-08T00:00:00","date_gmt":"2021-11-08T08:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/email-spam-classification-using-java-and-griddb\/"},"modified":"2025-11-14T07:55:01","modified_gmt":"2025-11-14T15:55:01","slug":"email-spam-classification-using-java-and-griddb","status":"publish","type":"post","link":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/email-spam-classification-using-java-and-griddb\/","title":{"rendered":"Java\u3068GridDB\u306b\u3088\u308b\u96fb\u5b50\u30e1\u30fc\u30eb\u30b9\u30d1\u30e0\u5206\u985e"},"content":{"rendered":"

\u306f\u3058\u3081\u306b<\/h2>\n

\u96fb\u5b50\u30e1\u30fc\u30eb\u306e\u30b9\u30d1\u30e0\u5206\u985e\u3067\u306f\u3001\u3042\u308b\u96fb\u5b50\u30e1\u30fc\u30eb\u304c\u30b9\u30d1\u30e0\u304b\u305d\u3046\u3067\u306a\u3044\u304b\u3092\u5224\u65ad\u3059\u308b\u3053\u3068\u304c\u30bf\u30b9\u30af\u3068\u306a\u308a\u307e\u3059\u3002\u3053\u308c\u306f\u4e3b\u306b\u4ef6\u540d\u3084\u30e1\u30c3\u30bb\u30fc\u30b8\u306b\u542b\u307e\u308c\u308b\u30ad\u30fc\u30ef\u30fc\u30c9\u306b\u3088\u3063\u3066\u5224\u65ad\u3055\u308c\u307e\u3059\u304c\u3001\u7c21\u5358\u306b\u306f\u3044\u304b\u306a\u3044\u5834\u5408\u3082\u3042\u308a\u3001\u30e1\u30fc\u30eb\u306e\u8ffd\u52a0\u90e8\u5206\u3092\u8003\u616e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u4e00\u3064\u306e\u65b9\u6cd5\u306f\u3001\u30b9\u30d1\u30e0\u30e1\u30fc\u30eb\u3068\u975e\u30b9\u30d1\u30e0\u30e1\u30fc\u30eb\u306e\u4f8b\u3092\u53ce\u96c6\u3057\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/p>\n

\u3053\u3053\u3067\u306f\u30014000\u901a\u4ee5\u4e0a\u306e\u30b9\u30d1\u30e0\uff081\uff09\u3001\u975e\u30b9\u30d1\u30e0\uff080\uff09\u306e\u30e1\u30fc\u30eb\u3092\u542b\u3080\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n

\"\"<\/a><\/p>\n

\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306fCSV\u5f62\u5f0f\u3067\u3059\u3002\u5404\u30e1\u30fc\u30eb\u306f\u3001\u30e1\u30fc\u30eb\u5185\u306e\u7279\u5b9a\u306e\u5358\u8a9e\u306e\u51fa\u73fe\u983b\u5ea6\u3092\u8868\u305948\u500b\u306e\u7279\u5fb4\u91cf\u3092\u6301\u3061\u307e\u3059\u30026\u3064\u306e\u7279\u5fb4\u306f\u7279\u5b9a\u306e\u6587\u5b57\u306e\u51fa\u73fe\u983b\u5ea6\u3092\u30013\u3064\u306e\u7279\u5fb4\u306f\u5927\u6587\u5b57\u306e\u51fa\u73fe\u983b\u5ea6\u3092\u3001\u305d\u3057\u3066\u6700\u5f8c\u306e\u7279\u5fb4\u306f\u30b9\u30d1\u30e0\/\u975e\u30b9\u30d1\u30e0\u30e9\u30d9\u30eb\u3092\u793a\u3059\u3082\u306e\u3067\u3059\u3002\u96fb\u5b50\u30e1\u30fc\u30eb\u306f\u30b9\u30d1\u30e0\u304b\u975e\u30b9\u30d1\u30e0\u306b\u5206\u985e\u3055\u308c\u308b\u306e\u3067\u3001\u3053\u308c\u306f2\u5024\u5206\u985e<\/em>\u306e\u30bf\u30b9\u30af\u3068\u8a00\u3048\u307e\u3059\u3002<\/p>\n

\u30d0\u30a4\u30ca\u30ea\u5206\u985e\u5668\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u30b9\u30c6\u30c3\u30d7\u306b\u5f93\u3044\u307e\u3059\u3002<\/p>\n

\u30b9\u30c6\u30c3\u30d71:<\/strong> CSV\u30c7\u30fc\u30bf\u3092GridDB\u306b\u79fb\u52d5\u3057\u307e\u3059\u3002<\/p>\n

Step 2:<\/strong> GridDB\u306e\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3093\u3067\u3001\u30a4\u30f3\u30e1\u30e2\u30ea\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n

Step 3:<\/strong>\u30d0\u30a4\u30ca\u30ea\u5206\u985e\u3092\u884c\u3046\u305f\u3081\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n

Step 4:<\/strong>\u8aad\u307f\u8fbc\u3093\u3060\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u3066\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n

Step 5:<\/strong>\u5b66\u7fd2\u3057\u305f\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u3092\u30c6\u30b9\u30c8\u3057\u307e\u3059\u3002<\/p>\n

\u5404\u7a2e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u8aad\u307f\u8fbc\u3080<\/h2>\n

\u307e\u305a\u306f\u3001\u4f7f\u7528\u3059\u308b\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u8aad\u307f\u8fbc\u3080\u3053\u3068\u304b\u3089\u59cb\u3081\u307e\u3057\u3087\u3046\u3002<\/p>\n

\n
\nimport java.io.IOException;\nimport java.util.Collection;\nimport java.util.Properties;\nimport java.util.Scanner;\n\nimport com.toshiba.mwcloud.gs.Collection;\nimport com.toshiba.mwcloud.gs.GSException;\nimport com.toshiba.mwcloud.gs.GridStore;\nimport com.toshiba.mwcloud.gs.GridStoreFactory;\nimport com.toshiba.mwcloud.gs.Query;\nimport com.toshiba.mwcloud.gs.RowKey;\nimport com.toshiba.mwcloud.gs.RowSet;<\/code><\/pre>\n<\/div>\n
GridDB\u306b\u30c7\u30fc\u30bf\u3092\u66f8\u304d\u8fbc\u3080<\/h2>\n
CSV\u30c7\u30fc\u30bf\u306f spam.csv<\/code> \u3068\u3044\u3046\u540d\u524d\u306e\u30d5\u30a1\u30a4\u30eb\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u3002\u3053\u306e\u30c7\u30fc\u30bf\u3092GridDB\u30b3\u30f3\u30c6\u30ca\u306b\u683c\u7d0d\u3059\u308b\u3053\u3068\u304c\u76ee\u7684\u3067\u3059\u3002\u30b3\u30f3\u30c6\u30ca\u30b9\u30ad\u30fc\u30de\u3092\u8868\u73fe\u3059\u308b\u9759\u7684\u30af\u30e9\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
\n    public static class Emails{\n        @RowKey String word1;\n        String word2,word3,word4,word5,word6,word7,word8,word9,word10,word11,word12,word13,word14,word15,word16,word17,word18,word19,word20,word21,word22,word23,word24,word25,word26,word27,word28,word29,word30,word31,word32,word33,word34,word35,word36,word37,word38,word39,word40,word41,word42,word43,word44,word45,word46,word47,word48,char1,char2,char3,char4,char5,char6,capitalAvg,capitalLongest,capitalTotal,isSpam;\n    \n    }<\/code><\/pre>\n<\/div>\n
\u4e0a\u8a18\u306e\u30af\u30e9\u30b9\u306f\u3001SQL\u306e\u30c6\u30fc\u30d6\u30eb\u306b\u4f3c\u305fGridDB\u30b3\u30f3\u30c6\u30ca\u3092\u4f5c\u6210\u3057\u300158\u30ab\u30e9\u30e0\u3092\u6301\u3064\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u3067\u3001GridDB\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306b\u63a5\u7d9a\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002GridDB\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u3001GridDB\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u60c5\u5831\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002<\/p>\n
\n
\n        Properties props = new Properties();\n        props.setProperty(\"notificationAddress\", \"239.0.0.1\");\n        props.setProperty(\"notificationPort\", \"31999\");\n        props.setProperty(\"clusterName\", \"defaultCluster\");\n        props.setProperty(\"user\", \"admin\");\n        props.setProperty(\"password\", \"admin\");\n        GridStore store = GridStoreFactory.getInstance().getGridStore(props);<\/code><\/pre>\n<\/div>\n
\u3053\u3053\u3067\u306f\u3001Emails<\/code>\u30b3\u30f3\u30c6\u30ca\u3092\u9078\u629e\u3057\u3066\u4f5c\u696d\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
Collection<String, Emails> coll = store.putCollection(\"col01\", Emails.class);<\/code><\/pre>\n<\/div>\n
\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001Emails<\/code> \u30b3\u30f3\u30c6\u30ca\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u3001coll<\/code> \u3068\u3044\u3046\u540d\u524d\u3092\u4ed8\u3051\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u540d\u524d\u306f\u3001\u30b3\u30f3\u30c6\u30ca\u3092\u53c2\u7167\u3059\u308b\u969b\u306b\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
\u305d\u308c\u3067\u306f\u3001spam.csv<\/code> \u30d5\u30a1\u30a4\u30eb\u304b\u3089\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3093\u3067\u3001GridDB \u306b\u683c\u7d0d\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
\n                File file1 = new File(\"spam.csv\");\n                Scanner sc = new Scanner(file1);\n                String data = sc.next();\n \n                while (sc.hasNext()){\n                        String scData = sc.next();\n                        String dataList[] = scData.split(\",\");\n                        String word1 = dataList[0];\n                        String word2 = dataList[1];\n                        String word3 = dataList[2];\n                        String word4 = dataList[3];\n                        String word5 = dataList[4];\n                        String word6 = dataList[5];\n                        String word7 = dataList[6];\n                        String word8 = dataList[7];\n                        String word9 = dataList[8];\n                        String word10 = dataList[9];\n                        String word11 = dataList[10];\n                        String word12 = dataList[11];\n                        String word13 = dataList[12];\n                        String word14 = dataList[13];\n                        String word15 = dataList[14];\n                        String word16 = dataList[15];\n                        String word17 = dataList[16];\n                        String word18 = dataList[17];\n                        String word19 = dataList[18];\n                        String word20 = dataList[19];\n                        String word21 = dataList[20];\n                        String word22 = dataList[21];\n                        String word23 = dataList[22];\n                        String word24 = dataList[23];\n                        String word25 = dataList[24];\n                        String word26 = dataList[25];\n                        String word27 = dataList[26];\n                        String word28 = dataList[27];\n                        String word29 = dataList[28];\n                        String word30 = dataList[29];\n                        String word31 = dataList[30];\n                        String word32 = dataList[31];\n                        String word33 = dataList[32];\n                        String word34 = dataList[33];\n                        String word35 = dataList[34];\n                        String word36 = dataList[35];\n                        String word37 = dataList[36];\n                        String word38 = dataList[37];\n                        String word39 = dataList[38];\n                        String word40 = dataList[39];\n                        String word41 = dataList[40];\n                        String word42 = dataList[41];\n                        String word43 = dataList[42];\n                        String word44 = dataList[43];\n                        String word45 = dataList[44];\n                        String word46 = dataList[45];\n                        String word47 = dataList[46];\n                        String word48 = dataList[47];\n                        String char1 = dataList[48];\n                        String char2 = dataList[49];\n                        String char3 = dataList[50];\n                        String char4 = dataList[51];\n                        String char5 = dataList[52];\n                        String char6 = dataList[53];\n                        String capitalAvg =dataList[54];\n                        String capitalLongest = dataList[55];\n                        String capitalTotal = dataList[56];\n                        String isSpam = dataList[57];\n                        \n                        Emails emails = new Emails();\n                        \n                        emails.word1 =word1;\n                        emails.word2 =word2;\n                        emails.word3 =word3;\n                        emails.word4 =word4;\n                        emails.word5 =word5;\n                        emails.word6 =word6;\n                        emails.word7 =word7;\n                        emails.word8 =word8;\n                        emails.word9 =word9;\n                        emails.word10 =word10;\n                        emails.word11 =word11;\n                        emails.word12 =word12;\n                        emails.word13 =word13;\n                        emails.word14 =word14;\n                        emails.word15 =word15;\n                        emails.word16 =word16;\n                        emails.word17 =word17;\n                        emails.word18 =word18;\n                        emails.word19 =word19;\n                        emails.word20 =word20;\n                        emails.word21 =word21;\n                        emails.word22 =word22;\n                        emails.word23 =word23;\n                        emails.word24 =word26;\n                        emails.word27 =word27;\n                        emails.word28 =word28;\n                        emails.word29 =word29;\n                        emails.word30 =word30;\n                        emails.word31 =word31;\n                        emails.word32 =word32;\n                        emails.word33 =word33;\n                        emails.word34 =word34;\n                        emails.word35 =word35;\n                        emails.word36 =word36;\n                        emails.word37 =word37;\n                        emails.word38 =word38;\n                        emails.word39 =word39;\n                        emails.word41 =word41;\n                        emails.word42 =word42;\n                        emails.word43 =word43;\n                        emails.word44 =word44;\n                        emails.word45 =word45;\n                        emails.word46 =word46;\n                        emails.word47 =word47;\n                        emails.word48 =word48;\n                        emails.char1 = char1;\n                        emails.char2 = char2;\n                        emails.char3 = char3;\n                        emails.char4 = char4;\n                        emails.char5 = char5;\n                        emails.char6 = char6;\n                        emails.capitalAvg = capitalAvg;\n                        emails.capitalLongest = capitalLongest;\n                        emails.capitalTotal = capitalTotal;\n                        emails.isSpam = isSpam;\n                        \n                        coll.append(emails);\n                 }<\/code><\/pre>\n<\/div>\n
email<\/code>\u3068\u3044\u3046\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u4f5c\u6210\u3057\u3001GridDB\u30b3\u30f3\u30c6\u30ca\u306b\u8ffd\u52a0\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
GridDB\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b<\/h2>\n
\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u3001GridDB\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u51fa\u3057\u307e\u3059\u3002<\/p>\n
\n
\n                Query<emails> query = coll.query(\"select *\");\n                RowSet<emails> rs = query.fetch(false);\n                RowSet res = query.fetch();<\/code><\/pre>\n<\/div>\n
select *<\/code>\u306f\u3001\u30b3\u30f3\u30c6\u30ca\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u3092\u9078\u629e\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n
\u30d0\u30a4\u30ca\u30ea\u5206\u985e\u5668\u306e\u30d3\u30eb\u30c9<\/h2>\n
\u307e\u305a\u3001\u30d0\u30a4\u30ca\u30ea\u5206\u985e\u5668\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u5fc5\u8981\u306a\u3059\u3079\u3066\u306e Java \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
\nimport deepnetts.data.DataSets;\nimport deepnetts.eval.Evaluators;\nimport deepnetts.data.norm.MaxNormalizer;\nimport javax.visrec.ml.eval.EvaluationMetrics;\nimport deepnetts.net.layers.activation.ActivationType;\nimport deepnetts.net.loss.LossType;\nimport deepnetts.net.FeedForwardNetwork;\nimport deepnetts.util.DeepNettsException;\nimport java.io.IOException;\nimport javax.visrec.ml.classification.BinaryClassifier;\nimport javax.visrec.ml.ClassificationException;\nimport javax.visrec.ml.data.DataSet;\nimport deepnetts.data.MLDataItem;\nimport javax.visrec.ri.ml.classification.FeedForwardNetBinaryClassifier;<\/code><\/pre>\n<\/div>\n
\u3053\u308c\u3067\u3001\u30d5\u30a3\u30fc\u30c9\u30d5\u30a9\u30ef\u30fc\u30c9\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u4f7f\u3063\u305f2\u5024\u5206\u985e\u5668\u3092\u69cb\u7bc9\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u4ee5\u4e0b\u306f\u305d\u306e\u305f\u3081\u306e\u30b3\u30fc\u30c9\u3067\u3059\u3002<\/p>\n
\n
\nDataSet emailsDataSet= DataSets(res, 57, 1, true); \n\n\/\/ create a feed forward neural network using builder\nFeedForwardNetwork nn = FeedForwardNetwork.builder()\n                               .addInputLayer(57)                                                                                                                                        \n                               .addFullyConnectedLayer(15) \n                               .addOutputLayer(1, ActivationType.SIGMOID)                                           \n                               .lossFunction(LossType.CROSS_ENTROPY) \n                               .build();<\/code><\/pre>\n<\/div>\n
\u30d5\u30a3\u30fc\u30c9\u30d5\u30a9\u30ef\u30fc\u30c9\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3001\u30b0\u30e9\u30d5\u3068\u3057\u3066\u8868\u73fe\u3067\u304d\u308b\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3059\u3002<\/p>\n
\"\"<\/a><\/p>\n
\u30b0\u30e9\u30d5\u306e\u5404\u30ce\u30fc\u30c9\u306f\u3001\u5165\u529b\u3092\u5909\u63db\u3059\u308b\u305f\u3081\u306e\u8a08\u7b97\u3092\u884c\u3044\u307e\u3059\u3002\u5404\u30ce\u30fc\u30c9\u306f\u3001\u305d\u306e\u524d\u306e\u30ce\u30fc\u30c9\u304b\u3089\u53d7\u3051\u53d6\u3063\u305f\u5165\u529b\u306b\u95a2\u6570\u3092\u9069\u7528\u3057\u3001\u6b21\u306e\u30ce\u30fc\u30c9\u306b\u9001\u4fe1\u3057\u307e\u3059\u3002\u4e0a\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001activation\u95a2\u6570\u3068\u3057\u3066sigmoid<\/em>\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002\u30ce\u30fc\u30c9\u306flayer<\/em>\u3068\u547c\u3070\u308c\u308b\u30b0\u30eb\u30fc\u30d7\u306b\u7de8\u6210\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u30c7\u30fc\u30bf\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30bb\u30c3\u30c8\u3068\u30c6\u30b9\u30c8\u30bb\u30c3\u30c8\u306b\u5206\u5272\u3059\u308b<\/h2>\n
\u76ee\u6a19\u306f\u3001\u30e1\u30fc\u30eb\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30b5\u30d6\u30bb\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u5b66\u7fd2\u3057\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u3082\u3046\u4e00\u3064\u306e\u30b5\u30d6\u30bb\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u3092\u30c6\u30b9\u30c8\u3059\u308b\u3053\u3068\u3067\u3059\u3002\u305d\u3053\u3067\u3001\u30c7\u30fc\u30bf\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30bb\u30c3\u30c8\u3068\u30c6\u30b9\u30c8\u30bb\u30c3\u30c8\u306e2\u3064\u306b\u5206\u5272\u3057\u307e\u3059\uff0860%\u304c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7528\u300140%\u304c\u30c6\u30b9\u30c8\u7528\uff09\u3002<\/p>\n
\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u3001\u30c7\u30fc\u30bf\u30922\u3064\u306e\u30bb\u30c3\u30c8\u306b\u5206\u5272\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
\/\/ split the data\nDataSet[] trainTestData = emailsDataSet.split(0.6, 0.4);\n\n\n\/\/ Normalize the data\nMaxNormalizer norm = new MaxNormalizer(trainTestData[0]); \nnorm.normalize(trainTestData[0]); \/\/ normalize the training set\nnorm.normalize(trainTestData[1]); \/\/ normalize the test set\nDataSet trainingSet = trainTestData[0];\nDataSet testSet = trainTestData[1];<\/code><\/pre>\n<\/div>\n
\u306a\u304a\u3001\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001\u30c7\u30fc\u30bf\u3092\u5206\u5272\u3057\u305f\u5f8c\u3001\u6b63\u898f\u5316\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b66\u7fd2<\/h2>\n
\u30c7\u30fc\u30bf\u306e\u5b66\u7fd2\u304c\u7d42\u308f\u3063\u305f\u306e\u3067\u3001\u3044\u3088\u3044\u3088\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u30e2\u30c7\u30eb\u3092\u5b66\u7fd2\u3057\u307e\u3059\u3002\u30d5\u30a3\u30fc\u30c9\u30d5\u30a9\u30ef\u30fc\u30c9\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3001\u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/em>\u3092\u4f7f\u7528\u3057\u3066\u5b66\u7fd2\u3055\u305b\u307e\u3059\u3002Deep Netts API\u3067\u306f\u3001\u3053\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092Backpropagation Trainer\u30af\u30e9\u30b9\u3067\u5b9f\u88c5\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30af\u30e9\u30b9\u306e NeuralNetwork.getTrainer()<\/code> \u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u89aa\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u4f7f\u7528\u3055\u308c\u308b\u30c8\u30ec\u30fc\u30ca\u30fc\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u307e\u305f\u3001\u6700\u5927\u30a8\u30dd\u30c3\u30af\u6570\uff08\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30bb\u30c3\u30c8\u3092\u901a\u904e\u3059\u308b\u56de\u6570\uff09\u3084\u5b66\u7fd2\u7387\u306a\u3069\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/p>\n
\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
\n
\n      \/\/ configure the trainer\n      nn.getTrainer().setMaxError(0.03f)\n                              .setMaxEpochs(10000)\n                              .setLearningRate(0.001f);\n\n      \/\/ start the training \n      nn.train(trainingSet);<\/code><\/pre>\n<\/div>\n
\u5b9f\u884c\u3059\u308b\u3068\u3001\u3053\u306e\u3088\u3046\u306a\u30b3\u30fc\u30c9\u304c\u8fd4\u3055\u308c\u307e\u3059\u3002<\/p>\n
\n
Epoch:1, Time:72ms, TrainError:0.66057104, TrainErrorChange:0.66057104, TrainAccuracy: 0.6289855\nEpoch:2, Time:18ms, TrainError:0.6435114, TrainErrorChange:-0.017059624, TrainAccuracy: 0.65072465\nEpoch:3, Time:17ms, TrainError:0.6278175, TrainErrorChange:-0.015693903, TrainAccuracy: 0.6786232\nEpoch:4, Time:14ms, TrainError:0.60796565, TrainErrorChange:-0.019851863, TrainAccuracy: 0.726087\nEpoch:5, Time:15ms, TrainError:0.58832765, TrainErrorChange:-0.019638002, TrainAccuracy: 0.74746376<\/code><\/pre>\n<\/div>\n
\u3053\u306e\u3088\u3046\u306b\u3001\u30e2\u30c7\u30eb\u306f\u5404\u30a8\u30dd\u30c3\u30af\u306e\u7d50\u679c\u3092\u8fd4\u3059\u3002<\/p>\n
\u5206\u985e\u5668\u306e\u30c6\u30b9\u30c8<\/h2>\n
\u65b0\u3057\u3044\u30e1\u30fc\u30eb\u3092\u30b9\u30d1\u30e0\u304b\u305d\u3046\u3067\u306a\u3044\u304b\u306b\u5206\u985e\u3059\u308b\u3068\u304d\u3001\u5206\u985e\u5668\u304c\u6b63\u78ba\u306a\u7d50\u679c\u3092\u4e0e\u3048\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u30c6\u30b9\u30c8\u3092\u884c\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u5206\u985e\u5668\u306f\u3001\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u306b\u4f7f\u7528\u3055\u308c\u3066\u3044\u306a\u3044\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u30c6\u30b9\u30c8\u3055\u308c\u307e\u3059\u3002\u5206\u985e\u306e\u6b63\u8aa4\u3092\u8a08\u7b97\u3057\u305f\u308a\u3001\u5206\u985e\u5668\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306e\u4ed6\u306e\u6307\u6a19\u3092\u8a08\u7b97\u3057\u305f\u308a\u3057\u307e\u3059\u3002<\/p>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5206\u985e\u5668\u3092\u30c6\u30b9\u30c8\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n
\n
EvaluationMetrics metrics = Evaluators.evaluateClassifier(nn, testSet);\nSystem.out.println(metrics);<\/code><\/pre>\n<\/div>\n
\u3053\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001\u5206\u985e\u5668\u306e\u7cbe\u5ea6\u3001\u6b63\u78ba\u3055\u3001\u518d\u73fe\u6027\u3001F1Score\u306a\u3069\u306e\u6307\u6a19\u3092\u8fd4\u3057\u307e\u3059\u3002<\/p>\n
\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u306e\u5229\u7528<\/h2>\n
\u5b66\u7fd2\u3057\u305f\u5206\u985e\u5668\u3092\u4f7f\u3063\u3066\u3001\u65b0\u3057\u3044\u30e1\u30fc\u30eb\u3092\u5206\u985e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u305d\u306e\u30c7\u30e2\u3067\u3059\u3002<\/p>\n
\n
\/\/ create a binary classifier using the trained network\n        BinaryClassifier bc = new FeedForwardNetBinaryClassifier(nn);        \n        \/\/ get the test email as an array of features\n        float[] testEmail = testSet.get(0).getInput().getValues();\n\n        \/\/ get the probability score that the email is spam\n        Float output = bc.classify(testEmail);\n        System.out.println(\"Spam probability: \"+output);<\/code><\/pre>\n<\/div>\n
\u5b66\u7fd2\u3057\u305f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u30e9\u30c3\u30d7\u3059\u308b\u305f\u3081\u306b\u3001FeedForwardNetBinaryClassifier<\/code>\u30af\u30e9\u30b9\u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u3002BinaryClassifier<\/code>\u306f\u30d0\u30a4\u30ca\u30ea\u5206\u985e\u5668\u306e\u5165\u529b\u3092\u6307\u5b9a\u3059\u308b\u305f\u3081\u306b\u30b8\u30a7\u30cd\u30ea\u30c3\u30af\u3092\u4f7f\u7528\u3059\u308b\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u3067\u3001\u3053\u306e\u4f8b\u3067\u306f\u30e1\u30fc\u30eb\u306e\u7279\u5fb4\u91cf\u306e\u914d\u5217\u306b\u306a\u308a\u307e\u3059\u3002\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u5206\u985e\u3059\u308b\u30e1\u30fc\u30eb\u3092\u3001\u30e1\u30fc\u30eb\u306e\u7279\u5fb4\u91cf\u306e\u914d\u5217\u3068\u3057\u3066\u6e21\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u914d\u5217\u306f\u3001\u30d0\u30a4\u30ca\u30ea\u5206\u985e\u5668\u306eclassify<\/code> \u30e1\u30bd\u30c3\u30c9\u306b\u6e21\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u30b3\u30fc\u30c9\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u3068\u5b9f\u884c<\/h2>\n
gsadm<\/code>\u30e6\u30fc\u30b6\u3067\u30ed\u30b0\u30a4\u30f3\u3057\u307e\u3059\u3002\u4f5c\u6210\u3057\u305f.java<\/code>\u30d5\u30a1\u30a4\u30eb\u3092 GridDB \u306ebin<\/code> \u30d5\u30a9\u30eb\u30c0\u306b\u79fb\u52d5\u3057\u3001\u4ee5\u4e0b\u306e\u30d1\u30b9\u306b\u914d\u7f6e\u3059\u308b\u3002<\/p>\n
\/griddb_4.6.0-1_amd64\/usr\/griddb-4.6.0\/bin\n<\/code><\/pre>\n
\u6b21\u306b\u3001Linux\u7aef\u672b\u3067\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3001gridstore.jar\u30d5\u30a1\u30a4\u30eb\u306e\u30d1\u30b9\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/p>\n
\n
export CLASSPATH=$CLASSPATH:\/home\/osboxes\/Downloads\/griddb_4.6.0-1_amd64\/usr\/griddb-4.6.0\/bin\/gridstore.jar<\/code><\/pre>\n<\/div>\n
\u6b21\u306b\u3001\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066 .java<\/code> \u30d5\u30a1\u30a4\u30eb\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u307e\u3059\u3002<\/p>\n
\n
javac EmailSpamFilter.java<\/code><\/pre>\n<\/div>\n
\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u751f\u6210\u3055\u308c\u305f.class\u30d5\u30a1\u30a4\u30eb\u3092\u524a\u9664\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\n
java EmailSpamFilter<\/code><\/pre>\n<\/div>\n
\u305d\u306e\u7d50\u679c\u3001\u305d\u306e\u30e1\u30fc\u30eb\u304c\u30b9\u30d1\u30e0\u3067\u3042\u308b\u78ba\u7387\u3092\u793a\u3059\u78ba\u7387\u30b9\u30b3\u30a2\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u306f\u3058\u3081\u306b \u96fb\u5b50\u30e1\u30fc\u30eb\u306e\u30b9\u30d1\u30e0\u5206\u985e\u3067\u306f\u3001\u3042\u308b\u96fb\u5b50\u30e1\u30fc\u30eb\u304c\u30b9\u30d1\u30e0\u304b\u305d\u3046\u3067\u306a\u3044\u304b\u3092\u5224\u65ad\u3059\u308b\u3053\u3068\u304c\u30bf\u30b9\u30af\u3068\u306a\u308a\u307e\u3059\u3002\u3053\u308c\u306f\u4e3b\u306b\u4ef6\u540d\u3084\u30e1\u30c3\u30bb\u30fc\u30b8\u306b\u542b\u307e\u308c\u308b\u30ad\u30fc\u30ef\u30fc\u30c9\u306b\u3088\u3063\u3066\u5224\u65ad\u3055\u308c\u307e\u3059\u304c\u3001\u7c21\u5358\u306b\u306f\u3044\u304b\u306a\u3044\u5834\u5408\u3082\u3042\u308a\u3001\u30e1\u30fc\u30eb\u306e\u8ffd\u52a0\u90e8 […]<\/p>\n","protected":false},"author":41,"featured_media":49326,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1005],"tags":[],"class_list":["post-50771","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1005"],"acf":[],"yoast_head":"\nJava\u3068GridDB\u306b\u3088\u308b\u96fb\u5b50\u30e1\u30fc\u30eb\u30b9\u30d1\u30e0\u5206\u985e | GridDB: Open Source Time Series Database for IoT<\/title>\n<meta name=\"description\" content=\"\u306f\u3058\u3081\u306b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.griddb.net\/ja\/\u672a\u5206\u985e\/email-spam-classification-using-java-and-griddb\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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