Multiple Regression in Python

Multiple linear regression in python

from sklearn import linear_model
clf = linear_model.LinearRegression()
clf.fit([[getattr(t, 'x%d' % i) for i in range(1, 8)] for t in texts],
        [t.y for t in texts])
#clf.coef_ will have the regression coefficients.

Source: stackoverflow.com

Multiple Regression in Python

from sklearn import linear_model
x = [[5, 7], [6, 6], [7, 4], [8, 5], [9, 6]]
y = [10, 20, 60, 40, 50]
lm = linear_model.LinearRegression()
lm.fit(x, y)
a = lm.intercept_
b = lm.coef_
print a, b[0], b[1]

Source: hackerrank.com

Similar codes

0 vote157 views1 answer
Python - remove floating in a dataframe
Python
16 votes149 views6 answers
Python raise exception
Python
7 votes153 views2 answers
Numpy create a matrix of certain value
Python
0 vote159 views1 answer
Try: if '1' != 1: raise "someError" else: print("someError has not occurred") except "someError": print ("someError has occurred")
Python
0 vote141 views1 answer
Mongodb get first 10 records
Python
9 votes141 views2 answers
Python execute string
Python
0 vote138 views1 answer
How to invert a true false array in python
Python
3 votes201 views1 answer
Load saved model tensorflow
Python
11 votes166 views3 answers
Convert dict to string python
Python
1 vote149 views2 answers
Find all unique items in dictionary value python
Python