1-注释掉print。

algorithm/src/main/java/org/algorithm/core/neural/dataset/NNDataSet.java

@@ -193,9 +193,8 @@ public abstract class NNDataSet {
             nameAndValueList.add(new NameAndValue(this.LABEL_DICT_ARRAY[i], predict[0][i]));
         nameAndValueList.sort(Comparator.reverseOrder());  // 按概率从大到小排列
 
-        // TODO:delete
-        System.out.println("原来__推送：...............................................................");
-        System.out.println(nameAndValueList.subList(0, 10));
+//        System.out.println("原来__推送：...............................................................");
+//        System.out.println(nameAndValueList.subList(0, 10));
 
         pushCountFilterBefore(nameAndValueList);  // 推送个数过滤【无效病历过滤】
 
@@ -203,10 +202,9 @@ public abstract class NNDataSet {
 
         this.pushCountFilterAfter(nameAndValueList);  // 推送个数过滤【概率骤降和概率和阈值过滤】
 
-        // TODO:delete
-        System.out.println("新版本__最终__推送：.......................................................");
-        System.out.println("长度：" + nameAndValueList.size());
-        System.out.println(nameAndValueList);
+//        System.out.println("新版本__最终__推送：.......................................................");
+//        System.out.println("长度：" + nameAndValueList.size());
+//        System.out.println(nameAndValueList);
 
         Map<String, Float> result = new HashMap<>();
         for (NameAndValue nameAndValue : nameAndValueList)
@@ -262,10 +260,9 @@ public abstract class NNDataSet {
 
         nameAndValueList = filterDiagnosis(nameAndValueList);  // 疾病过滤
 
-        // TODO:delete
-        System.out.println("原版本__最终__推送 ......................................................");
-        System.out.println("长度：" + nameAndValueList.size());
-        System.out.println(nameAndValueList);
+//        System.out.println("原版本__最终__推送 ......................................................");
+//        System.out.println("长度：" + nameAndValueList.size());
+//        System.out.println(nameAndValueList);
 
         Map<String, Float> result = new HashMap<>();
         for (NameAndValue nameAndValue : nameAndValueList)