Or you could just say x.reshape(100,1) which is what I do.
Anne Dwyer
On Tue, Mar 26, 2013 at 9:44 AM, Lars Buitinck wrote:
> 2013/3/26 abinash.panda.ece10 :
> X = np.array([2*val for val in y])
> X.shape
> > (100,)
>
> The correct input format is, per the documentation
>
> X : nu
2013/3/26 abinash.panda.ece10 :
X = np.array([2*val for val in y])
X.shape
> (100,)
The correct input format is, per the documentation
X : numpy array or sparse matrix of shape [n_samples,n_features]
So that's
X = np.array([[2*val] for val in y])
or
X = np.atleast2d(2 *
I have tried to fit some 1-D data using LinearRegression available in
linear_model. Encountered a following error :
>>> import numpy as np
>>> y = np.arange(100)
>>> X = np.array([2*val for val in y])
>>> clf = linear_model.LinearRegression()
>>> clf.fit(X,y)
Traceback (most recent call last):y
F
