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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