Bunu yapman\u0131n bir yolu, her kategorik de\u011fere alfabetik s\u0131raya g\u00f6re bir tamsay\u0131 de\u011feri atayan<\/span> etiket kodlamas\u0131n\u0131<\/strong> kullanmakt\u0131r<\/span> .<\/p>\n \u00d6rne\u011fin, a\u015fa\u011f\u0131daki ekran g\u00f6r\u00fcnt\u00fcs\u00fc Team<\/strong> ad\u0131 verilen kategorik bir de\u011fi\u015fkenin her benzersiz de\u011ferinin, alfabetik s\u0131raya g\u00f6re bir tamsay\u0131 de\u011ferine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir:<\/span> <\/p>\n R’de etiket kodlamay\u0131 ger\u00e7ekle\u015ftirmenin iki yayg\u0131n yolu vard\u0131r:<\/span><\/p>\n Y\u00f6ntem 1: Temel R’yi Kullan<\/strong><\/span><\/p>\n Y\u00f6ntem 2: CatEncoders paketini kullanma<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, tak\u0131m<\/strong> ad\u0131 verilen kategorik bir de\u011fi\u015fkeni say\u0131sal bir de\u011fi\u015fkene d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in R base Factor()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Ekip<\/strong> s\u00fctunundaki yeni de\u011ferleri not edin:<\/span><\/p>\n Ekip<\/strong> s\u00fctununu kategorik bir de\u011fi\u015fkenden say\u0131sal bir de\u011fi\u015fkene ba\u015far\u0131yla d\u00f6n\u00fc\u015ft\u00fcrd\u00fck.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, Team<\/strong> ad\u0131 verilen kategorik bir de\u011fi\u015fkeni say\u0131sal bir de\u011fi\u015fkene d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in CatEncoders()<\/strong> paketindeki i\u015flevlerin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Yine ekip<\/strong> s\u00fctununda a\u015fa\u011f\u0131daki yeni de\u011ferleri olu\u015fturduk:<\/span><\/p>\n Bu, \u00f6nceki \u00f6rne\u011fin sonu\u00e7lar\u0131yla e\u015fle\u015fir.<\/span><\/span><\/p>\n Bu y\u00f6ntemi kullanarak tak\u0131m<\/strong> s\u00fctununun orijinal de\u011ferlerini elde etmek i\u00e7in inverse.transform()<\/strong> y\u00f6ntemini de kullanabilece\u011finizi unutmay\u0131n:<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de devam etmekten kategorik bir de\u011fi\u015fken nas\u0131l olu\u015fturulur?<\/a> Makine \u00f6\u011freniminde genellikle kategorik de\u011fi\u015fkenleri algoritmalar taraf\u0131ndan kolayl\u0131kla kullan\u0131labilecek bir t\u00fcr say\u0131sal formata d\u00f6n\u00fc\u015ft\u00fcrmek isteriz. Bunu yapman\u0131n bir yolu, her kategorik de\u011fere alfabetik s\u0131raya g\u00f6re bir tamsay\u0131 de\u011feri atayan etiket kodlamas\u0131n\u0131 kullanmakt\u0131r . \u00d6rne\u011fin, a\u015fa\u011f\u0131daki ekran g\u00f6r\u00fcnt\u00fcs\u00fc Team ad\u0131 verilen kategorik bir de\u011fi\u015fkenin her benzersiz de\u011ferinin, alfabetik s\u0131raya g\u00f6re bir tamsay\u0131 de\u011ferine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3446","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/labelencode2-1.jpg\")
<\/p>\n df$my_var <- as. numeric<\/span> (factor(df$my_var))\n<\/strong><\/pre>\n library<\/span> (CatEncoders)\n\n#define original categorical labels\n<\/span>labs = LabelEncoder. fit<\/span> (df$my_var)\n\n#convert labels to numeric values\n<\/span>df$team = transform(labs, df$my_var)<\/strong><\/pre>\n \u00d6rnek 1: Base R kullanarak etiketleri kodlama<\/strong><\/span><\/h2>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'),\n points=c(25, 12, 15, 14, 19, 23, 25, 29))\n\n#view data frame\n<\/span>df\n\n team points\n1 to 25\n2 to 12\n3 B 15\n4 B 14\n5 B 19\n6 B 23\n7 C 25\n8 C 29\n\n#perform label encoding on team variable\n<\/span>df$team <- as. numeric<\/span> (factor(df$team))\n\n#view updated data frame\n<\/span>df\n\n team points\n1 1 25\n2 1 12\n3 2 15\n4 2 14\n5 2 19\n6 2 23\n7 3 25\n8 3 29\n<\/strong><\/pre>\n\n
\u00d6rnek 2: CatEncoders paketini kullanarak etiketleri kodlama<\/strong><\/span><\/h2>\n
library<\/span> (CatEncoders)<\/span>\n\n#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'),\n points=c(25, 12, 15, 14, 19, 23, 25, 29))\n\n#define original categorical labels\n<\/span>labs = LabelEncoder. fit<\/span> (df$team)\n\n#convert labels to numeric values\n<\/span>df$team = transform(labs, df$team)\n\n#view updated data frame\n<\/span>df\n\n team points\n1 1 25\n2 1 12\n3 2 15\n4 2 14\n5 2 19\n6 2 23\n7 3 25\n8 3 29<\/strong><\/pre>\n\n
#display original team labels\n<\/span>reverse. transform<\/span> (labs, df$team)\n\n[1] \u201cA\u201d \u201cA\u201d \u201cB\u201d \u201cB\u201d \u201cB\u201d \u201cB\u201d \u201cC\u201d \u201cC\u201d\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de kategorik de\u011fi\u015fkenler nas\u0131l olu\u015fturulur?<\/a>
R’de kategorik de\u011fi\u015fkenler say\u0131sala nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"