9e62f772ee6e7e1b346640533f5122154f102b5a,code/traditional/JDA/JDA.py,,,#,116

Before Change

                src_domain, tar_domain = scipy.io.loadmat(src), scipy.io.loadmat(tar)
                Xs, Ys, Xt, Yt = src_domain["feas"], src_domain["label"], tar_domain["feas"], tar_domain["label"]
                jda = JDA(Xs, Ys, Xt, Yt, kernel_type="primal", dim=30, lamb=1, gamma=1)
                acc, ypre, list_acc = jda.fit_predict()
                print(acc)

After Change

                src, tar = "data/" + domains[i], "data/" + domains[j]
                src_domain, tar_domain = scipy.io.loadmat(src), scipy.io.loadmat(tar)
                Xs, Ys, Xt, Yt = src_domain["feas"], src_domain["label"], tar_domain["feas"], tar_domain["label"]
                jda = JDA(kernel_type="primal", dim=30, lamb=1, gamma=1)
                acc, ypre, list_acc = jda.fit_predict(Xs, Ys, Xt, Yt)
                print(acc)

Instances