问Python列表追加时出现颠簸数组错误

EN

pca_components = range(1,51)
gmm_components = range(1,5)
covariance_types = ['spherical', 'diag', 'tied', 'full']

# Spherical
spherical_results = []
for i in pca_components:
    pca_model = PCA(n_components=i)
    pca_train = pca_model.fit(train_data).transform(train_data)
    for j in gmm_components:
        parameters = (i+i)*j*2
        if parameters > 50:
            pass
        else:             
            gmm_model = GMM(n_components=j, covariance_type='spherical')
            gmm_model.fit(pca_train)
            pca_test = pca_model.transform(test_data)
            predictions = gmm_model.predict(pca_test)
            accuracy = np.mean(predictions.ravel() == test_labels.ravel())
            accuracy=int(accuracy)
            spherical_results.append([accuracy, i,j, parameters])
spher_results = np.array(spherical_results)
max_accuracy = np.amax(spherical_results[:,0])
print(f"highest accuracy score for spherical is {max_accuracy}")