我试图在MNIST数据集上实现SVM分类器.由于我的参数是3维,因此抛出以下错误:
ValueError: Found array with dim 3. Expected <= 2
以下是我的代码段:
import mnist
from sklearn import svm
training_images, training_labels = mnist.load_mnist("training", digits = [1,2,3,4])
classifier = svm.SVC()
classifier.fit(training_images, training_labels)
sklearn是否支持多维分类器？