Hi Scikit fans,
I am facing following error while performing classification with *single
feature* only:
reg = linear_model.LogisticRegression()
*scores.append(reg.fit(X_train, y_train).score(X_test, y_test))*
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File
"/software/so/el6.3/PythonPackages-2.7.6/lib/python2.7/site-packages/sklearn/svm/base.py",
line 676, in fit
(X.shape[0], y.shape[0]))
*ValueError: X and y have incompatible shapes.*
X has 1 samples, but y has 1692.
My variables look like:
>>>X_train
array([ 1., 1., 1., ..., 1., 1., 1.])
>>>X_train.shape
(1692,)
>>>y_train
array([ 0., 0., 1., ..., 0., 1., 1.])
>>>y_train.shape
y_train.shape
(1692,)
Can someone help me removing this error?
Thanks!
Shalu
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