Zach,
For your second snippet, I get this output using the dev version of
scikit-learn:
coef array [ 0.33333333 0.33333333 0.33333333]
length 3
getting value 0: 0.333333333333
getting value 1: 0.333333333333
What version of scikit-learn are you using? You can find out by running
import sklearn
print sklearn.__version__
Thanks
Jake
On 07/18/2012 02:09 PM, Zach Bastick wrote:
> I'm having trouble with linear_model.LinearRegression()
>
> This works:
>
> from sklearn import linear_model
> clf = linear_model.LinearRegression()
> clf.fit ([[0, 0, 0], [1, 1, 1], [2, 2, 2]], [0, 1, 2])
> # clf.fit([[394, 3878, 13, 4, 0, 0],[384, 10175, 14, 4, 0, 0]],[3,9])
> print 'coef array',clf.coef_
> print 'length', len(clf.coef_)
> print 'getting value 0:', clf.coef_[0]
> print 'getting value 1:', clf.coef_[1]
>
> output:
>
> coef array [ 0.33333333 0.33333333 0.33333333]
> length 3
> getting value 0: 0.333333333333
> getting value 1: 0.333333333333
>
>
> But this returns the values in a list of a list [[]] instead of a list
> []. Any ideas why?
>
> from sklearn import linear_model
> clf = linear_model.LinearRegression()
> # clf.fit ([[0, 0, 0], [1, 1, 1], [2, 2, 2]], [0, 1, 2])
> clf.fit([[394, 3878, 13, 4, 0, 0],[384, 10175, 14, 4, 0, 0]],[3,9])
> print 'coef array',clf.coef_
> print 'length', len(clf.coef_)
> print 'getting value 0:', clf.coef_[0]
> print 'getting value 1:', clf.coef_[1]
>
>
> Output:
>
> coef array [[ 1.03428648e-03 9.54477167e-04 1.45135995e-07
> 0.00000000e+00 0.00000000e+00 0.00000000e+00]]
> length 1
> getting value 0: [ 1.03428648e-03 9.54477167e-04 1.45135995e-07
> 0.0000000
> 0e+00 0.00000000e+00 0.00000000e+00]
> getting value 1:
> Traceback (most recent call last):
> File "regress.py", line 8, in <module>
> print 'getting value 1:', clf.coef_[1]
> IndexError: index out of bounds
>
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