var checkInput = function() { // 检查后缀名 txt csv excel // upload_file_1 训练集，upload_file_2 验证集，upload_file_3 测试集 if (document.getElementsByClassName("upload_dataset")[0].style.display == ""){ var files = ["upload_file_1", "upload_file_2", "upload_file_3"]; }else if (document.getElementsByClassName("split_dataset")[0].style.display == ""){ var files = ["upload_file_4"]; var epoch = document.getElementById("ratio").value; if (epoch == ""){ window.alert("Please input Ratio value"); var train_form = document.getElementsByClassName("train_form")[0]; train_form.focus(); return false; } }else{ var files = ["upload_file_5", "upload_file_6"]; var epoch = document.getElementById("ratio").value; if (epoch == ""){ window.alert("Please input Kfold value"); var train_form = document.getElementsByClassName("train_form")[0]; train_form.focus(); return false; } } for (file_id of files){ var obj = document.getElementById(file_id); var len = obj.files.length; var full_file_name = ""; for (var i = 0; i < len; i++) { full_file_name = obj.files[i].name; // combined.txt } var index =full_file_name.lastIndexOf("."); // 获取文件名后缀的索引 var suffix = full_file_name.substring(index+1, full_file_name.length); // txt if (suffix != "csv" && suffix != "txt" && suffix != "excel"){ window.alert("Please upload a txt, csv or excel file!"); var train_form = document.getElementsByClassName("train_form")[0]; train_form.focus(); return false; } } // 检查epoch、lr、es是否为空值 var epoch = document.getElementById("epoch").value; if (epoch == ""){ window.alert("Please input Epoch value"); var train_form = document.getElementsByClassName("train_form")[0]; train_form.focus(); return false; } // window.alert('lr') var lr = document.getElementById("lr").value; if (lr == ""){ window.alert("Please input Learning Rate value"); var train_form = document.getElementsByClassName("train_form")[0]; train_form.focus(); return false; } // window.alert('es') var es = document.getElementById("es").value; if (es == ""){ window.alert("Please input EarlyStopping Patience value"); var train_form = document.getElementsByClassName("train_form")[0]; train_form.focus(); return false; } var lb = document.getElementById("seed").value; if (lb == ""){ window.alert("Please input random seed value"); var train_form = document.getElementsByClassName("train_form")[0]; train_form.focus(); return false; } // // window.alert(files.length) // if (files.length == 2){ // var kfold = document.getElementById("kfold").value; // if (kfold == ""){ // window.alert("Please input K-Fold value"); // var train_form = document.getElementsByClassName("train_form")[0]; // train_form.focus(); // return false; // } // } // window.alert('email') // 检查邮件格式 var email = document.getElementById("email").value; //box var regex = /^[\w\-\.]+@[a-z0-9]+(\-[a-z0-9]+)?(\.[a-z0-9]+(\-[a-z0-9]+)?)*\.[a-z]{2,4}$/i; if (!regex.test(email)) { window.alert("Please submit the correct email address"); // document.getElementById("email").enter.focus(); var process_form = document.getElementsByClassName("train_form")[0]; process_form.focus(); return false; } // if (email != ""){ // var regex = /^[\w\-\.]+@[a-z0-9]+(\-[a-z0-9]+)?(\.[a-z0-9]+(\-[a-z0-9]+)?)*\.[a-z]{2,4}$/i; // if (!regex.test(email)) { // window.alert("Please submit the correct email address"); // var train_form = document.getElementsByClassName("train_form")[0]; // train_form.focus(); // return false; // } // } return true; } var download_example = function() { // window.open("./example/train_example.zip") const fileUrl = "./example/train_semi_supervised_example.zip"; // 文件的实际路径 const fileName = "train_semi_supervised_example.zip"; // 下载时保存的文件名 const a = document.createElement("a"); // 创建一个 标签元素 a.href = fileUrl; // 设置下载链接 a.download = fileName; // 设置下载文件名 document.body.appendChild(a); // 将 标签添加到页面 a.click(); // 模拟点击 标签，触发下载 document.body.removeChild(a); // 删除 标签，清理DOM } var checkEmail = function() { // 判断email格式是否正确 写的不对 var email = document.getElementById("email").value; //box var regex = /^[\w\-\.]+@[a-z0-9]+(\-[a-z0-9]+)?(\.[a-z0-9]+(\-[a-z0-9]+)?)*\.[a-z]{2,4}$/i; if (email == '' || !regex.test(email)) { window.alert("Please submit the correct email address"); document.getElementById("email").enter.focus(); return false; } else { return true; } } function useUpload(){ var x = document.getElementsByClassName("upload_dataset"); var i; for (i=0; i < x.length; i++){ x[i].style.display=""; } var x = document.getElementsByClassName("split_dataset"); for (i=0; i < x.length; i++){ x[i].style.display="none"; } var x = document.getElementsByClassName("kfold_dataset"); for (i=0; i < x.length; i++){ x[i].style.display="none"; } } function useSplit(){ var i; var x = document.getElementsByClassName("upload_dataset"); for (i=0; i < x.length; i++){ x[i].style.display="none"; } var x = document.getElementsByClassName("split_dataset"); for (i=0; i < x.length; i++){ x[i].style.display=""; } var x = document.getElementsByClassName("kfold_dataset"); for (i=0; i < x.length; i++){ x[i].style.display="none"; } } function useKfold(){ var i; var x = document.getElementsByClassName("upload_dataset"); for (i=0; i < x.length; i++){ x[i].style.display="none"; } var x = document.getElementsByClassName("split_dataset"); for (i=0; i < x.length; i++){ x[i].style.display="none"; } var x = document.getElementsByClassName("kfold_dataset"); for (i=0; i < x.length; i++){ x[i].style.display=""; } } function change(v){ if(v==0){ document.getElementById("loss_type_ladder").style.display=""; document.getElementById("gamma_div").style.display=""; document.getElementById("Reconstruction_loss").style.display=""; document.getElementById("loss_type_pseudo").style.display="none"; // document.getElementById("super_loss").style.display="none"; document.getElementById("pseudo_loss").style.display="none"; document.getElementById("pseudo_conf").style.display="none"; document.getElementById("pseudo_ratio_div").style.display="none"; }else if(v==1){ document.getElementById("loss_type_ladder").style.display="none"; document.getElementById("gamma_div").style.display="none"; document.getElementById("Reconstruction_loss").style.display="none"; document.getElementById("loss_type_pseudo").style.display=""; // document.getElementById("super_loss").style.display=""; document.getElementById("pseudo_loss").style.display=""; document.getElementById("pseudo_conf").style.display=""; document.getElementById("pseudo_ratio_div").style.display=""; } }


Upload train/validation/testing datasets   Upload a dataset to conduct train/validation/testing split   Use stratified K-Fold cross validation method