diff --git a/src/utils/request.js b/src/utils/request.js index 771970c..141f86b 100644 --- a/src/utils/request.js +++ b/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, }); diff --git a/src/views/digitalMarketingAlgorithms/components/regressionAnalysis.vue b/src/views/digitalMarketingAlgorithms/components/regressionAnalysis.vue index b83ce27..d8561bf 100644 --- a/src/views/digitalMarketingAlgorithms/components/regressionAnalysis.vue +++ b/src/views/digitalMarketingAlgorithms/components/regressionAnalysis.vue @@ -50,7 +50,7 @@ 三、模型参数设置
- 聚类方法: + 回归模型:
@@ -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;