我正在尝试这段代码。我使用的是scikits.learn 0.8.1。
from scikits.learn import linear_model
import numpy as np
num_rows = 10000
X = np.zeros([num_rows,2])
y = np.zeros([num_rows,1])
# assume here I have filled in X and y appropriately with 0s and 1s from the dataset
clf = linear_model.LogisticRegression()
clf.fit(X, y)
我遇到了这个问题 -->
/usr/local/lib/python2.6/dist-packages/scikits/learn/svm/liblinear.so in scikits.learn.svm.liblinear.train_wrap (scikits/learn/svm/liblinear.c:992)()
ValueError: Buffer has wrong number of dimensions (expected 1, got 2)
这里有什么问题?