'tj'

src/utils/request.js

@@ -16,8 +16,8 @@ axios.defaults.headers["Content-Type"] = "application/json;charset=utf-8";
 const service = axios.create({
   // axios中请求配置有baseURL选项，表示请求URL公共部分
   // baseURL: import.meta.env.VITE_APP_BASE_API,
-  baseURL: "http://118.31.7.2:9868/",
-  // baseURL:'http://192.168.2.14:9868/',
+  // baseURL: "http://118.31.7.2:9868/",
+  baseURL:'http://192.168.2.14:9868/',
   // 超时
   timeout: 100000,
 });

src/views/digitalMarketingAlgorithms/components/regressionAnalysis.vue

@@ -50,7 +50,7 @@
             <span>三、模型参数设置</span>
           </div>
           <div class="metrics-table" style="margin-top: 10px">
-            <span style="font-weight: 400; font-size: 12px; color: #ffffff">聚类方法：</span>
+            <span style="font-weight: 400; font-size: 12px; color: #ffffff">回归模型：</span>
             <div class="metrics" style="margin-top: 10px">
               <el-select v-model="input4" placeholder="请选择" style="width: 180px">
                 <el-option v-for="item in options4" :key="item.value" :label="item.label" :value="item.value" />
@@ -343,10 +343,10 @@ const task = () => {
       errorNumber=1
     }
   }else if(input4.value==="Logistic逻辑回归"){
-    if(formInline3.value1!==tableData3.value[0].intercept.toString()){
+    if(parseFloat(formInline3.value1)!==parseFloat(tableData3.value[0].intercept)){
       errorNumber=1
     }
-    if(formInline3.value2!==tableData3.value[0].slope){
+    if(parseFloat(formInline3.value2)!==parseFloat(tableData3.value[0].slope)){
       errorNumber=1
     }
     if(parseFloat(formInline3.value3)!==parseFloat(predictionResults.value)){
@@ -557,7 +557,7 @@ const computation = () => {
         proxy.$modal.msgError("y变量数量有误！");
         return;
       }
-      if (input6.value.length > 2) {
+      if (input6.value.length > 1) {
         proxy.$modal.msgError("x变量数量有误！");
         return;
       }
@@ -613,19 +613,19 @@ const handleClick = (item) => {
 };
 const predictionResults = ref("");
 const Forecasting = () => {
-  if (nowData.value.type === "线性回归") {
-    const sendData = {
-      intercept: nowData.value.intercept,
-      type: nowData.value.type,
-      slopes: nowData.value.slopes.split(",").map(Number),
-      raX: formInline2.user.split(",").map(Number),
-    };
-    API.logisticRegressionPrediction(sendData).then((res) => {
-      dialogVisible2.value = false;
-      predictionResults.value = res.data;
-    });
-  }
-  if (nowData.value.type === "逻辑回归") {
+  // if (nowData.value.type === "线性回归") {
+  //   const sendData = {
+  //     intercept: nowData.value.intercept,
+  //     type: nowData.value.type,
+  //     slopes: nowData.value.slopes.split(",").map(Number),
+  //     raX: formInline2.user.split(",").map(Number),
+  //   };
+  //   API.logisticRegressionPrediction(sendData).then((res) => {
+  //     dialogVisible2.value = false;
+  //     predictionResults.value = res.data;
+  //   });
+  // }
+  // if (nowData.value.type === "逻辑回归") {
     const sendData = {
       intercept: nowData.value.intercept,
       type: nowData.value.type,
@@ -636,7 +636,7 @@ const Forecasting = () => {
       dialogVisible2.value = false;
       predictionResults.value = res.data;
     });
-  }
+  // }
 };
 const upLoad = () => {
   const tableDom = exportTableRef.value?.$el;