Python scikits - Buffer has wrong number of dimensions (expected 1, got 2)
15,863
Solved. The error was due to:
y = np.zeros([num_rows,1])
It should have been:
y = np.zeros([num_rows])
Comments
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zubinmehta almost 2 years
I am trying this code snippet. I am using 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)
I am getting this -->
/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)
What is wrong in here?