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Mar 20th, 2019
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  1. day 1 2 3 4 5 6
  2.  
  3. sales_dept1 0 0 0 3 3 3
  4. sales_dept2 0 0 0 6 6 6
  5. sales_dept3 0 0 0 1 1 1
  6.  
  7. dept1 slope = 1
  8. dept2 slope = 0.5
  9. dept3 slope = 3
  10.  
  11. from sklearn.linear_model import LinearRegression
  12. regressor = LinearRegression()
  13.  
  14. X = [[0], [0], [0], [3], [3], [3]]
  15. y = [1, 2, 3, 4, 5, 6]
  16. regressor.fit(X, y)
  17. print(regressor.coef_)
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