Reputation: 15
I have 2 variables from polynomial regression:
y_test = [1.57325397 0.72686416]
y_pred= [1.57325397 0.72686416]
y_test
is the y axis of the test i did, while y_pred
is are the values i got from regressor.predict
(regressor
is the object of LinearRegression
class).
I tried to use np.concatenate((y_test),(y_predict))
but it did not work and it said only integer scalar arrays can be converted to a scalar index. So what should I do here? it OK to round of the values to integers or should I do something else?
Upvotes: -1
Views: 47
Reputation: 64
You should first separate your list values with a comma:
y_test = [1.57325397,0.72686416]
y_pred= [1.57325397,0.72686416]
For concatenation you should define an axis and use following syntax:
np.concatenate((y_test, y_pred), axis=0)
Then you would get
array([1.57325397, 0.72686416, 1.57325397, 0.72686416])
Upvotes: 1