增加随机森林模型获取和注入

README.md

@@ -194,7 +194,12 @@
         //创建模板读取累
         TemplateReader templateReader = new TemplateReader();
         //读取语言模版，第一个参数是模版地址，第二个参数是编码方式，第三个参数是是否是WIN系统
+        //同时也是学习过程
         templateReader.read("/Users/lidapeng/Desktop/myDocment/a1.txt", "UTF-8", IOConst.NOT_WIN);
+        //学习结束获取模型参数
+        //WordModel wordModel = WordTemple.get().getModel();
+        //不用学习注入模型参数
+        //WordTemple.get().insertModel(wordModel);
         Talk talk = new Talk();
         //输入语句进行识别，若有标点符号会形成LIST中的每个元素
         //返回的集合中每个值代表了输入语句，每个标点符号前语句的分类

src/main/java/org/wlld/naturalLanguage/WordModel.java

@@ -13,6 +13,33 @@ public class WordModel {
     private RfModel rfModel;//随机森林模型
     private List<WorldBody> allWorld;//所有词集合
     private List<List<String>> wordTimes;//所有分词编号
+    private double garbageTh;//垃圾分类的阈值默认0.5
+    private double trustPunishment;//信任惩罚
+    private double trustTh;//信任阈值
+
+    public double getGarbageTh() {
+        return garbageTh;
+    }
+
+    public void setGarbageTh(double garbageTh) {
+        this.garbageTh = garbageTh;
+    }
+
+    public double getTrustPunishment() {
+        return trustPunishment;
+    }
+
+    public void setTrustPunishment(double trustPunishment) {
+        this.trustPunishment = trustPunishment;
+    }
+
+    public double getTrustTh() {
+        return trustTh;
+    }
+
+    public void setTrustTh(double trustTh) {
+        this.trustTh = trustTh;
+    }
 
     public RfModel getRfModel() {
         return rfModel;

src/main/java/org/wlld/naturalLanguage/WordTemple.java

@@ -19,6 +19,27 @@ public class WordTemple {
     private double garbageTh = 0.5;//垃圾分类的阈值默认0.5
     private double trustPunishment = 0.1;//信任惩罚
 
+    public WordModel getModel() {//获取模型
+        WordModel wordModel = new WordModel();
+        wordModel.setAllWorld(allWorld);
+        wordModel.setWordTimes(wordTimes);
+        wordModel.setGarbageTh(garbageTh);
+        wordModel.setTrustPunishment(trustPunishment);
+        wordModel.setTrustTh(randomForest.getTrustTh());
+        wordModel.setRfModel(randomForest.getModel());
+        return wordModel;
+    }
+
+    public void insertModel(WordModel wordModel) throws Exception {//注入模型
+        allWorld = wordModel.getAllWorld();
+        wordTimes = wordModel.getWordTimes();
+        garbageTh = wordModel.getGarbageTh();
+        trustPunishment = wordModel.getTrustPunishment();
+        randomForest = new RandomForest();
+        randomForest.setTrustTh(wordModel.getTrustTh());
+        randomForest.insertModel(wordModel.getRfModel());
+    }
+
     public double getTrustPunishment() {
         return trustPunishment;
     }

src/main/java/org/wlld/randomForest/RandomForest.java

@@ -14,10 +14,17 @@ public class RandomForest {
     private Tree[] forest;
     private double trustTh = 0.1;//信任阈值
 
-    public void setTrustTh(double trustTh) {//设置信任阈值
+    public double getTrustTh() {
+        return trustTh;
+    }
+
+    public void setTrustTh(double trustTh) {
         this.trustTh = trustTh;
     }
 
+    public RandomForest() {
+    }
+
     public RandomForest(int treeNub) throws Exception {
         if (treeNub > 0) {
             forest = new Tree[treeNub];
@@ -29,8 +36,12 @@ public class RandomForest {
     public void insertModel(RfModel rfModel) throws Exception {//注入模型
         if (rfModel != null) {
             Map<Integer, Node> nodeMap = rfModel.getNodeMap();
-            for (int i = 0; i < forest.length; i++) {
+            forest = new Tree[nodeMap.size()];
-                forest[i].setRootNode(nodeMap.get(i));
+            for (Map.Entry<Integer, Node> entry : nodeMap.entrySet()) {
+                int key = entry.getKey();
+                Tree tree = new Tree();
+                forest[key] = tree;
+                tree.setRootNode(entry.getValue());
             }
         } else {
             throw new Exception("model is null");

src/main/java/org/wlld/randomForest/Tree.java

@@ -36,6 +36,9 @@ public class Tree {//决策树
         private double gainRatio;
     }
 
+    public Tree() {
+    }
+
     public Tree(DataTable dataTable) throws Exception {
         if (dataTable != null && dataTable.getKey() != null) {
             this.dataTable = dataTable;

src/test/java/org/wlld/LangTest.java

@@ -17,15 +17,19 @@ public class LangTest {
     }
 
     public static void test() throws Exception {
-        //学习过程 过程（长期内存持有）
+        //创建模板读取累
-        //模版类
         TemplateReader templateReader = new TemplateReader();
-        //读取模版
+        //读取语言模版，第一个参数是模版地址，第二个参数是编码方式，第三个参数是是否是WIN系统
+        //同时也是学习过程
         templateReader.read("/Users/lidapeng/Desktop/myDocment/a1.txt", "UTF-8", IOConst.NOT_WIN);
-        //识别过程
+        //学习结束获取模型参数
+        //WordModel wordModel = WordTemple.get().getModel();
+        //不用学习注入模型参数
+        //WordTemple.get().insertModel(wordModel);
         Talk talk = new Talk();
-        //我饿了，我想吃个饭
+        //输入语句进行识别，若有标点符号会形成LIST中的每个元素
-        List<Integer> list = talk.talk("语速");
+        //返回的集合中每个值代表了输入语句，每个标点符号前语句的分类
+        List<Integer> list = talk.talk("帮我配把锁");
         System.out.println(list);
     }
 }