https:\/\/github.com\/griddbnet\/Blogs\/tree\/perceptron_neural_network<\/a><\/p>\n\u30c7\u30fc\u30bf\u8aac\u660e<\/h2>\n
\u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f11\u500b\u306e\u7279\u5fb4\u304c\u3042\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u521d\u306e10\u500b\u306e\u5c5e\u6027\u304c\u5165\u529b\u306e\u7279\u5fb4\u3068\u306a\u308a\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u5165\u529b\u306f\u305d\u308c\u305e\u308c\u5bb6\u306e\u7279\u5fb4\u3092\u8a18\u8ff0\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u5f8c\u306e\u5c5e\u6027\u306f\u3001\u3053\u308c\u304b\u3089\u4e88\u6e2c\u3059\u308b\u7279\u5fb4\u3067\u3001\u4f4f\u5b85\u4fa1\u683c\u304c\u4e2d\u592e\u5024\u3088\u308a\u4e0a\u304b\u4e0b\u304b\u3092\u8a18\u8ff0\u3057\u307e\u3059\u3002\u5024\u304c1\u3067\u3042\u308c\u3070\u3001\u4f4f\u5b85\u4fa1\u683c\u304c\u4e2d\u592e\u5024\u3088\u308a\u9ad8\u3044\u3053\u3068\u3092\u610f\u5473\u3057\u3001\u5024\u304c0\u3067\u3042\u308c\u3070\u3001\u4f4f\u5b85\u4fa1\u683c\u304c\u4e2d\u592e\u5024\u3088\u308a\u4f4e\u3044\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n
\u30c7\u30fc\u30bf\u306f\u3001housepricedata.csv<\/code>\u3068\u3044\u3046\u540d\u524d\u306eCSV\u30d5\u30a1\u30a4\u30eb\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\nGridDB\u306b\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3059\u308b<\/h2>\n
\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u30c7\u30fc\u30bf\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u304c\u3001GridDB\u306fCSV\u30d5\u30a1\u30a4\u30eb\u3088\u308a\u3082\u591a\u304f\u306e\u5229\u70b9\u3092\u5099\u3048\u3066\u3044\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001GridDB\u306fCSV\u30d5\u30a1\u30a4\u30eb\u3088\u308a\u3082\u9ad8\u901f\u306b\u30af\u30a8\u30ea\u7d50\u679c\u3092\u8fd4\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u305d\u306e\u305f\u3081\u3001GridDB\u306b\u30c7\u30fc\u30bf\u3092\u4fdd\u5b58\u3059\u308b\u3053\u3068\u3092\u9078\u629e\u3057\u307e\u3057\u305f\u3002<\/p>\n
\u307e\u305a\u3001GridDB\u306b\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3059\u308b\u305f\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
import java.io.File;\nimport java.util.Scanner;\nimport java.io.IOException;\nimport java.util.Collection;\nimport java.util.Properties;\n\nimport com.toshiba.mwcloud.gs.Query;\nimport com.toshiba.mwcloud.gs.RowKey;\nimport com.toshiba.mwcloud.gs.RowSet;\nimport com.toshiba.mwcloud.gs.GridStore;\nimport com.toshiba.mwcloud.gs.Collection;\nimport com.toshiba.mwcloud.gs.GSException;\nimport com.toshiba.mwcloud.gs.GridStoreFactory;<\/code><\/pre>\n<\/div>\nGridDB\u306f\u3001\u30c7\u30fc\u30bf\u3092\u30b3\u30f3\u30c6\u30ca\u306b\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u307e\u3059\u3002\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3059\u308bGridDB\u30b3\u30f3\u30c6\u30ca\u3092\u8868\u3059\u9759\u7684\u306aJava\u30af\u30e9\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
public static class Perceptron {\n @RowKey String lotArea;\n String overallQual;\n String overallCond; \n String totalBsmtSF;\n String fullBath;\n String halfBath;\n String bedroomAbvGr;\n String totRmsAbvGrd;\n String fireplaces;\n String garageArea;\n String aboveMedianPrice;\n}<\/code><\/pre>\n<\/div>\n\u4e0a\u8a18\u306e\u9759\u7684\u30af\u30e9\u30b9\u3092SQL\u306e\u30c6\u30fc\u30d6\u30eb\u3068\u898b\u7acb\u3066\u3066\u304f\u3060\u3055\u3044\u3002\u5404\u5909\u6570\u306f\u3001GridDB \u30b3\u30f3\u30c6\u30ca\u5185\u306e 1 \u3064\u306e\u30ab\u30e9\u30e0\u3092\u8868\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u3067\u3001Java\u304b\u3089GridDB\u306b\u63a5\u7d9a\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u3053\u308c\u306f\u3001\u8a8d\u8a3c\u30d7\u30ed\u30bb\u30b9\u304c\u6b63\u5e38\u306b\u5b9f\u884c\u3055\u308c\u308c\u3070\u53ef\u80fd\u3067\u3059\u3002\u63a5\u7d9a\u306f\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
Properties props = new Properties();\nprops.setProperty(\"notificationAddress\", \"239.0.0.1\");\nprops.setProperty(\"notificationPort\", \"31999\");\nprops.setProperty(\"clusterName\", \"defaultCluster\");\nprops.setProperty(\"user\", \"admin\");\nprops.setProperty(\"password\", \"admin\");\nGridStore store = GridStoreFactory.getInstance().getGridStore(props);<\/code><\/pre>\n<\/div>\nGridDB\u306e\u8a2d\u5b9a\u306b\u5fdc\u3058\u3066\u3001\u6b63\u3057\u3044\u8a8d\u8a3c\u60c5\u5831\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\u3067\u306f\u3001\u30c7\u30fc\u30bf\u3092\u633f\u5165\u3059\u308b\u30b3\u30f3\u30c6\u30ca\u3092\u9078\u629e\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
Collection<String, Perceptron> coll = store.putCollection(\"col01\", Perceptron.class);<\/code><\/pre>\n<\/div>\n\u30b3\u30f3\u30c6\u30ca\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u304c\u4f5c\u6210\u3055\u308c\u307e\u3057\u305f\u3002\u3053\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306f\u3001\u30b3\u30f3\u30c6\u30ca\u3092\u53c2\u7167\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u305d\u308c\u3067\u306f\u3001CSV\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u51fa\u3057\u3001GridDB\u306b\u633f\u5165\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
File file1 = new File(\"housepricedata.csv\");\nScanner sc = new Scanner(file1);\nString data = sc.next();\n\nwhile (sc.hasNext()){\n String scData = sc.next();\n String dataList[] = scData.split(\",\");\n String lotArea = dataList[0];\n String overallQual = dataList[1];\n String overallCond = dataList[2];\n String totalBsmtSF = dataList[3];\n String fullBath = dataList[4];\n String halfBath = dataList[5];\n String bedroomAbvGr = dataList[6];\n String totRmsAbvGrd = dataList[7];\n String fireplaces = dataList[8];\n String garageArea = dataList[9];\n String aboveMedianPrice = dataList[10];\n\n Perceptron pc = new Perceptron();\n pc.lotArea = Integer.parseInt(lotArea);\n pc.overallQual = Integer.parseInt(overallQual);\n pc.overallCond = Integer.parseInt(overallCond);\n pc.totalBsmtSF = Integer.parseInt(totalBsmtSF);\n pc.fullBath = Integer.parseInt(fullBath);\n pc.halfBath = Integer.parseInt(halfBath);\n pc.bedroomAbvGr = Integer.parseInt(bedroomAbvGr);\n pc.totRmsAbvGrd = Integer.parseInt(totRmsAbvGrd);\n pc.fireplaces = Integer.parseInt(fireplaces);\n pc.garageArea = Integer.parseInt(garageArea);\n pc.aboveMedianPrice = Integer.parseInt(aboveMedianPrice);\n\n coll.append(pc);\n}<\/code><\/pre>\n<\/div>\n\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001CSV \u30d5\u30a1\u30a4\u30eb\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u51fa\u3057\u3001GridDB \u30b3\u30f3\u30c6\u30ca\u306b\u633f\u5165\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b<\/h2>\n
\u3053\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e2\u30c7\u30eb\u3092\u5b9f\u88c5\u3057\u3066\u307f\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002\u305d\u3053\u3067\u3001GridDB\u30b3\u30f3\u30c6\u30ca\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u51fa\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
Query<perceptron> query = coll.query(\"select *\");\nRowSet<perceptron> rs = query.fetch(false);\nRowSet res = query.fetch();<\/code><\/pre>\n<\/div>\nselect *<\/code> \u306f\u3001GridDB\u30b3\u30f3\u30c6\u30ca\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\u3092\u3059\u3079\u3066\u9078\u629e\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3057\u305f\u3002<\/p>\n\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e2\u30c7\u30eb\u306e\u9069\u5408<\/h2>\n
\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u4f5c\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u307e\u305a\u3001\u3053\u308c\u306b\u4f7f\u3046\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
import java.io.BufferedReader;\nimport java.io.FileReader;\nimport weka.core.Instance;\nimport weka.core.Instances;\nimport java.math.BigDecimal;\nimport weka.classifiers.Evaluation;\nimport weka.classifiers.functions.MultilayerPerceptron;<\/code><\/pre>\n<\/div>\n\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30d0\u30c3\u30d5\u30a1\u30fc\u30c9\u30ea\u30fc\u30c0\u30fc\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n
\n
BufferedReader bufferedReader\n = new BufferedReader(\n new FileReader(res));\n \n\/\/ Create dataset instances\nInstances datasetInstances\n = new Instances(bufferedReader);<\/code><\/pre>\n<\/div>\n\u6b21\u306b\u3001PerceptronNeuralNetwork<\/code> \u30af\u30e9\u30b9\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n\n
datasetInstances.setClassIndex(datasetInstances.numAttributes()-1);\n\/\/Instance of NN\nPerceptronNeuralNetwork mlp = new PerceptronNeuralNetwork();<\/code><\/pre>\n<\/div>\n\u305d\u308c\u3067\u306f\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a2d\u5b9a\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
\/\/Setting Parameters\nmlp.setLearningRate(0.1);\nmlp.setMomentum(0.2);\nmlp.setTrainingTime(2000);\nmlp.setHiddenLayers(\"3\");<\/code><\/pre>\n<\/div>\n\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u306b\u3088\u308a\u3001\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u7387\u3001\u904b\u52d5\u91cf\u3001\u5b66\u7fd2\u6642\u9593\u3001\u96a0\u308c\u5c64\u306e\u6570\u306a\u3069\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n
\u305d\u308c\u3067\u306f\u3001\u5206\u985e\u5668\u3092\u4f5c\u3063\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
mlp.buildClassifier(datasetInstances);<\/code><\/pre>\n<\/div>\n\u30e2\u30c7\u30eb\u3092\u8a55\u4fa1\u3059\u308b<\/h2>\n
\u3067\u306f\u3001\u3053\u306e\u30e2\u30c7\u30eb\u304c\u3069\u306e\u3088\u3046\u306b\u52d5\u4f5c\u3059\u308b\u304b\u3092\u8a55\u4fa1\u3057\u307e\u3057\u3087\u3046\u3002\u8a55\u4fa1\u306b\u306f Evaluation()<\/code> \u95a2\u6570\u3092\u4f7f\u3044\u307e\u3059\u3002<\/p>\n\n
Evaluation eval = new Evaluation(datasetInstances);\neval.evaluateModel(mlp, datasetInstances);\nSystem.out.println(eval.toSummaryString()); \/\/Summary of Training<\/code><\/pre>\n<\/div>\n\u3053\u308c\u3067\u8a55\u4fa1\u6307\u6a19\u3092\u8868\u793a\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n
\n
\/\/display metrics\nSystem.out.println(\"Correlation: \"+eval.correlationCoefficient());\nSystem.out.println(\"Mean Absolute Error: \"+new BigDecimal(eval.meanAbsoluteError()));\nSystem.out.println(\"Root Mean Squared Error: \"+eval.rootMeanSquaredError());\nSystem.out.println(\"Relative Absolute Error: \"+eval.relativeAbsoluteError()+\"%\");\nSystem.out.println(\"Root Relative Squared Error: \"+eval.rootRelativeSquaredError()+\"%\");\nSystem.out.println(\"Instances: \"+eval.numInstances());<\/code><\/pre>\n<\/div>\n\u4e88\u6e2c\u3059\u308b<\/h2>\n
\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u5f8c\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f7f\u3063\u3066\u3001\u4e88\u6e2c\u3092\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u76ee\u6a19\u306f\u3001\u4f4f\u5b85\u4fa1\u683c\u304c\u4e2d\u592e\u5024\u3088\u308a\u4e0a\u304b\u4e0b\u304b\u3092\u77e5\u308b\u3053\u3068\u3067\u3059\u3002\u7d50\u679c\u304c1\u3067\u3042\u308c\u3070\u3001\u4f4f\u5b85\u4fa1\u683c\u304c\u4e2d\u592e\u5024\u3088\u308a\u4e0a\u3067\u3042\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u30020 \u306f\u5bb6\u306e\u5024\u6bb5\u304c\u4e2d\u592e\u5024\u3088\u308a\u4e0b\u3067\u3042\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n
\n
Instance pred = datasetInstances.lastInstance();\ndouble answer = mlp.classifyInstance(pred);\nSystem.out.println(answer);<\/code><\/pre>\n<\/div>\n\u30e2\u30c7\u30eb\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u3068\u5b9f\u884c<\/h2>\n
\u30e2\u30c7\u30eb\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u3066\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001Weka API \u304c\u5fc5\u8981\u3067\u3059\u3002\u4ee5\u4e0b\u306eURL\u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
http:\/\/www.java2s.com\/Code\/Jar\/w\/weka.htm<\/p>\n
\u6b21\u306b\u3001gsadm<\/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 \u306e bin<\/code> \u30d5\u30a9\u30eb\u30c0\u306b\u79fb\u52d5\u3057\u307e\u3057\u3087\u3046\u3002\u79fb\u52d5\u5148\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\/griddb_4.6.0-1_amd64\/usr\/griddb-4.6.0\/bin<\/p>\n
Linux\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\u4f7f\u7528\u3057\u3066 .java<\/code> \u30d5\u30a1\u30a4\u30eb\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u307e\u3059\u3002<\/p>\n\n
javac -cp weka-3-7-0\/weka.jar PerceptronNeuralNetwork.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\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n
\n
java -cp .:weka-3-7-0\/weka.jar PerceptronNeuralNetwork<\/code><\/pre>\n<\/div>\n\u30e2\u30c7\u30eb\u306f\u4e88\u6e2c\u5024\u3068\u3057\u30660<\/code>\u3092\u8fd4\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u306f\u3001\u4f4f\u5b85\u4fa1\u683c\u304c\u4e2d\u592e\u5024\u3088\u308a\u4f4e\u3044\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u591a\u5c64\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u3068\u306f\u3001\u5165\u529b\u30c7\u30fc\u30bf\u3092\u9069\u5207\u306a\u51fa\u529b\u306b\u5bfe\u5fdc\u3055\u305b\u308b\u30d5\u30a3\u30fc\u30c9\u30d5\u30a9\u30ef\u30fc\u30c9\u306e\u4eba\u5de5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e2\u30c7\u30eb\u3092\u6307\u3057\u307e\u3059\u3002 \u591a\u5c64\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u306f\u3001\u6709\u5411\u30b0\u30e9\u30d5\u306e\u30ce\u30fc\u30c9\u3092\u4f55\u5c64\u306b\u3082\u91cd\u306d\u305f\u3082\u306e\u3067\u3001\u3069\u306e\u5c64\u3082\u6b21\u306e\u5c64\u3068\u5b8c\u5168\u306b\u3064\u306a\u304c\u3063\u3066 […]<\/p>\n","protected":false},"author":41,"featured_media":49438,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1005],"tags":[],"class_list":["post-50812","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1005"],"acf":[],"yoast_head":"\n
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