'tj'

src/views/digitalMarketingAlgorithms/components/regressionAnalysis.vue

@@ -565,14 +565,9 @@ const computation = () => {
       if (input6.value.length === 1) {
         tableData2.value.forEach((item) => {
           sendData.y.push(item[input5.value[0]]);
-          sendData.x.push([item[input6.value[0]]]);
+          sendData.x.push(item[input6.value[0]]);
         });
-      } else {
+      } 
-        tableData2.value.forEach((item) => {
-          sendData.y.push(item[input5.value[0]]);
-          sendData.x.push([item[input6.value[0]], item[input6.value[1]]]);
-        });
-      }
 
       API.logisticRegression(sendData).then((res) => {
         tableLabel2.length = 0;
@@ -628,9 +623,8 @@ const Forecasting = () => {
   // if (nowData.value.type === "逻辑回归") {
     const sendData = {
       intercept: nowData.value.intercept,
-      type: nowData.value.type,
       slope: nowData.value.slope,
-      lx: formInline2.user,
+      x: formInline2.user,
     };
     API.logisticRegressionPrediction(sendData).then((res) => {
       dialogVisible2.value = false;