合并分支解决测试bug

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" />
@@ -344,11 +344,11 @@ 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;
+      errorNumber=1
     }
-    if (formInline3.value2 !== tableData3.value[0].slope) {
+    if(parseFloat(formInline3.value2)!==parseFloat(tableData3.value[0].slope)){
-      errorNumber = 1;
+      errorNumber=1
     }
     if (parseFloat(formInline3.value3) !== parseFloat(predictionResults.value)) {
       errorNumber = 1;
@@ -475,13 +475,9 @@ const options3 = ref([
 ]);
 const input4 = ref();
 const options4 = ref([
-  {
-    value: "线性回归",
-    label: "线性回归",
-  },
   {
     value: "Logistic逻辑回归",
-    label: "Logistic逻辑回归",
+    label: "线性回归",
   },
 ]);
 const input5 = ref();
@@ -563,7 +559,7 @@ 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;
       }
@@ -619,19 +615,19 @@ const handleClick = (item) => {
 };
 const predictionResults = ref("");
 const Forecasting = () => {
-  if (nowData.value.type === "线性回归") {
+  // if (nowData.value.type === "线性回归") {
-    const sendData = {
+  //   const sendData = {
-      intercept: nowData.value.intercept,
+  //     intercept: nowData.value.intercept,
-      type: nowData.value.type,
+  //     type: nowData.value.type,
-      slopes: nowData.value.slopes.split(",").map(Number),
+  //     slopes: nowData.value.slopes.split(",").map(Number),
-      raX: formInline2.user.split(",").map(Number),
+  //     raX: formInline2.user.split(",").map(Number),
-    };
+  //   };
-    API.logisticRegressionPrediction(sendData).then((res) => {
+  //   API.logisticRegressionPrediction(sendData).then((res) => {
-      dialogVisible2.value = false;
+  //     dialogVisible2.value = false;
-      predictionResults.value = res.data;
+  //     predictionResults.value = res.data;
-    });
+  //   });
-  }
+  // }
-  if (nowData.value.type === "逻辑回归") {
+  // if (nowData.value.type === "逻辑回归") {
     const sendData = {
       intercept: nowData.value.intercept,
       type: nowData.value.type,
@@ -642,7 +638,7 @@ const Forecasting = () => {
       dialogVisible2.value = false;
       predictionResults.value = res.data;
     });
-  }
+  // }
 };
 const upLoad = () => {
   const tableDom = exportTableRef.value?.$el;