我正在使用線性 SVC 進(jìn)行一些面部識(shí)別訓(xùn)練，我的數(shù)據(jù)集是 870x22。我有 29 個(gè)不同的人的 30 幀，我在圖像中使用 22 個(gè)簡(jiǎn)單值像素來(lái)識(shí)別面部圖像，說(shuō) 22 個(gè)像素是我的特征。此外，當(dāng)我調(diào)用 train_test_split() 時(shí)，它會(huì)給我一個(gè)大小為 218x22 的 X_test 和大小為 218 的 y_test。一旦我訓(xùn)練了分類(lèi)器并嘗試運(yùn)行新面孔 (30x22) 矩陣的圖像，它就會(huì)給我錯(cuò)誤：ValueError: Found input variables with inconsistent numbers of samples: [218, 30]這是代碼：import sklearnfrom sklearn.model_selection import train_test_splitfrom sklearn import metricsfrom sklearn.svm import SVCfrom sklearn.metrics import confusion_matrixfrom sklearn.metrics import accuracy_score, f1_score? ? img_amount = 30? ? target = np.asarray([1]*img_amount + [2]*img_amount + [3]*img_amount + [4]*img_amount + [5]*img_amount + [6]*img_amount + [7]*img_amount + [8]*img_amount + [9]*img_amount + [10]*img_amount + [11]*img_amount + [12]*img_amount + [13]*img_amount + [14]*img_amount + [15]*img_amount + [16]*img_amount + [17]*img_amount + [18]*img_amount + [19]*img_amount + [20]*img_amount + [21]*img_amount + [22]*img_amount + [23]*img_amount + [24]*img_amount + [25]*img_amount + [26]*img_amount + [27]*img_amount + [28]*img_amount + [29]*img_amount)? ?? ? dataset= dataset[:, 0:22]? ? ? ??? ? ? ? svc_1 = SVC(kernel='linear', C=0.00005)? ? ? ? X_train, X_test, y_train, y_test = train_test_split( dataset, target, test_size=0.25, random_state=0)? ? ? ??? ? ? ? def train(clf, X_train, X_test, y_train, y_test):? ? ? ? ? ??? ? ? ? ? ? clf.fit(X_train, y_train)? ? ? ? ? ? print ("Accuracy on training set:")? ? ? ? ? ? print (clf.score(X_train, y_train))? ? ? ? ? ? print ("Accuracy on testing set:")? ? ? ? ? ? print (clf.score(X_test, y_test))? ? ? ? ? ??? ? ? ? ? ? y_pred = clf.predict(X_test)? ? ? ? ? ??? ? ? ? ? ? print ("Classification Report:")? ? ? ? ? ? print (metrics.classification_report(y_test, y_pred))? ? ? ? ? ? print ("Confusion Matrix:")? ? ? ? ? ? print (metrics.confusion_matrix(y_test, y_pred))